Eric P. Xing
Affiliations:- Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Petuum Inc., Pittsburgh, PA, USA
According to our database1,
Eric P. Xing
authored at least 589 papers
between 2001 and 2024.
Collaborative distances:
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on zbmath.org
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on cs.cmu.edu
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Bibliography
2024
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion.
Int. J. Comput. Vis., August, 2024
IEEE Trans. Artif. Intell., July, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
CoRR, 2024
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.
CoRR, 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.
CoRR, 2024
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.
CoRR, 2024
An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images.
Appl. Soft Comput., 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Medical Imaging, 2023
CoRR, 2023
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers.
CoRR, 2023
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Pattern Recognit., 2022
J. Comput. Biol., 2022
The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning.
CoRR, 2022
CoRR, 2022
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion.
CoRR, 2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning.
CoRR, 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization.
CoRR, 2022
Towards robust partially supervised multi-structure medical image segmentation on small-scale data.
Appl. Soft Comput., 2022
Toward learning human-aligned cross-domain robust models by countering misaligned features.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model.
Proceedings of the Research in Computational Molecular Biology, 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision, 2022
Proceedings of the Computer Vision, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Comput. Biol., May, 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid.
CoRR, 2021
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation.
CoRR, 2021
Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets.
BMC Bioinform., 2021
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.
Bioinform., 2021
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species.
PLoS Comput. Biol., November, 2020
Pattern Recognit. Lett., 2020
Mach. Learn. Sci. Technol., 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly.
J. Mach. Learn. Res., 2020
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.
CoRR, 2020
Squared 𝓁<sub>2</sub> Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations.
CoRR, 2020
CoRR, 2020
CoRR, 2020
WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.
IEEE Trans. Image Process., 2019
Multim. Tools Appl., 2019
CoRR, 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks.
Comput. Linguistics, 2019
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies.
BMC Bioinform., 2019
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data.
Bioinform., 2019
STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory.
Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.
J. Mach. Learn. Res., 2018
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records.
CoRR, 2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.
CoRR, 2018
CoRR, 2018
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful.
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Bioinform., 2018
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.
Proceedings of the Machine Learning for Healthcare Conference, 2018
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the ACM Symposium on Cloud Computing, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.
CoRR, 2017
Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods.
CoRR, 2017
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning.
CoRR, 2017
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction.
CoRR, 2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.
Bioinform., 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel.
IEEE Trans. Signal Process., 2016
Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning.
ACM Trans. Knowl. Discov. Data, 2016
An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.
J. Comput. Biol., 2016
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR, 2016
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.
CoRR, 2016
Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis.
CoRR, 2016
A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.
Bioinform., 2016
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Eleventh European Conference on Computer Systems, 2016
GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server.
Proceedings of the Eleventh European Conference on Computer Systems, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Big Data, 2015
AD<sup>3</sup>: alternating directions dual decomposition for MAP inference in graphical models.
J. Mach. Learn. Res., 2015
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR, 2015
CoRR, 2015
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.
CoRR, 2015
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.
CoRR, 2015
Proceedings of the 24th International Conference on World Wide Web, 2015
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015
Toward personalized pan-omic association analysis under complex structures and big data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm.
PLoS Comput. Biol., 2014
Neural Comput., 2014
Bayesian inference with posterior regularization and applications to infinite latent SVMs.
J. Mach. Learn. Res., 2014
Spatial compactness meets topical consistency: jointly modeling links and content for community detection.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the 2014 USENIX Annual Technical Conference, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Sparse sensor selection for nonparametric decentralized detection via L1 regularization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the ACM Symposium on Cloud Computing, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources.
J. Comput. Biol., 2013
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso.
CoRR, 2013
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Understanding the Interaction between Interests, Conversations and Friendships in Facebook
CoRR, 2012
Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines
CoRR, 2012
BMC Bioinform., 2012
Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs.
Bioinform., 2012
Proceedings of the 21st World Wide Web Conference 2012, 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012
Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012
Proceedings of the Computer Vision, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
StructHDP: automatic inference of number of clusters and population structure from admixed genotype data.
Bioinform., 2011
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.
Bioinform., 2011
TVNViewer: An interactive visualization tool for exploring networks that change over time or space.
Bioinform., 2011
Proceedings of the 20th International Conference on World Wide Web, 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach - (Keynote Talk).
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the 2011 IEEE Symposium on Biological Data Visualization, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
2010
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Semant., 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity
CoRR, 2010
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
CoRR, 2010
SPEX<sup>2</sup>: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.
Bioinform., 2010
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.
Proceedings of the UAI 2010, 2010
Proceedings of the Research in Computational Molecular Biology, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
A multivariate regression approach to association analysis of a quantitative trait network.
Bioinform., 2009
Bioinform., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Structured correspondence topic models for mining captioned figures in biological literature.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the ACL 2009, 2009
2008
Proc. VLDB Endow., 2008
CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing.
PLoS Comput. Biol., 2008
Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.
J. Comput. Biol., 2008
Proceedings of the UAI 2008, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008
BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes.
Proceedings of the Research in Computational Molecular Biology, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008
<i>mStruct</i>: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.
Proceedings of the Machine Learning, 2008
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
Proceedings of the Computer Vision, 2008
2007
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Research in Computational Molecular Biology, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
<i>Spectrum</i>: joint bayesian inference of population structure and recombination events.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.
Proceedings of the Machine Learning, 2006
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Proceedings of the ACL 2006, 2006
2005
Evaluation of normalization methods for cDNA microarray data by <i>k</i>-NN classification.
BMC Bioinform., 2005
Proceedings of the UAI '05, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the 3rd international workshop on Link discovery, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Workshop on Building and Using Parallel Texts@ACL 2005, 2005
2004
Proc. Natl. Acad. Sci. USA, 2004
J. Bioinform. Comput. Biol., 2004
Proceedings of the UAI '04, 2004
Proceedings of the Machine Learning, 2004
2003
A generalized mean field algorithm for variational inference in exponential families.
Proceedings of the UAI '03, 2003
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001
Feature selection for high-dimensional genomic microarray data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001