Ping Li
Orcid: 0000-0002-7985-8477Affiliations:
- LinkedIn Ads, Bellevue, WA, USA
- Baidu Research USA, Bellevue, WA, USA
- Rutgers University, Department of Statistics, Piscataway, NJ, USA (former)
- Cornell University, Department of Statistical Science, Ithaca, NY, USA (former)
- Stanford University, Department of Statistics, CA, USA (PhD)
According to our database1,
Ping Li
authored at least 415 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
J. Mach. Learn. Res., 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Stochastic Controlled Averaging for Federated Learning with Communication Compression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation.
J. Mach. Learn. Res., 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix.
CoRR, 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models.
CoRR, 2023
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling.
CoRR, 2023
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS).
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
L<sub>2</sub>-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting.
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
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors.
IEEE Trans. Inf. Theory, 2022
IEEE Trans. Inf. Theory, 2022
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence.
CoRR, 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression.
CoRR, 2022
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations.
CoRR, 2022
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models.
CoRR, 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Boosting the Confidence of Generalization for L<sub>2</sub>-Stable Randomized Learning Algorithms.
CoRR, 2022
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification.
CoRR, 2022
CoRR, 2022
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models.
CoRR, 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.
CoRR, 2022
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond.
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
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 KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
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 IEEE Information Theory Workshop, 2022
Proceedings of the IEEE Information Theory Workshop, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.
Proceedings of the IEEE International Conference on Big Data, 2022
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm.
Proceedings of the Asian Conference on Machine Learning, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Signal Process., 2021
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations.
CoRR, 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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 KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
J. Mach. Learn. Res., 2020
J. Mach. Learn. Res., 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction.
Proceedings of the 2020 SIAM International Conference on Data Mining, 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 Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems.
Proceedings of the Third Conference on Machine Learning and Systems, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 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
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model.
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 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
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling.
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
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b-Bit Quantized Linear Measurements.
IEEE Trans. Inf. Theory, 2018
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the Eleventh ACM International Conference on Web Search and 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
Proceedings of the IEEE International Conference on Data Mining, 2018
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Simple strategies for recovering inner products from coarsely quantized random projections.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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
Online city-scale hyper-local event detection via analysis of social media and human mobility.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements.
CoRR, 2016
Learning the Differential Correlation Matrix of a Smooth Function From Point Samples.
CoRR, 2016
2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search.
CoRR, 2016
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
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 Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 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
2015
IEEE Trans. Image Process., 2015
Proceedings of the 24th International Conference on World Wide Web, 2015
Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS).
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
CoRR, 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 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
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient.
CoRR, 2013
Beyond Pairwise: Provably Fast Algorithms for Approximate <i>k</i>-Way Similarity Search.
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 5th Asia-Pacific Symposium on Internetware, 2013
2012
Knowl. Inf. Syst., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions.
CoRR, 2012
Proceedings of the 21st World Wide Web Conference, 2012
Proceedings of the 21st World Wide Web Conference, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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 21st ACM International Conference on Information and Knowledge Management, 2012
2011
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data.
Proceedings of the COLT 2011, 2011
Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)
CoRR, 2011
CoRR, 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the Network and Parallel Computing - 8th IFIP International Conference, 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
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting
CoRR, 2010
An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost
CoRR, 2010
Proceedings of the 19th International Conference on World Wide Web, 2010
Proceedings of the UAI 2010, 2010
Proceedings of the UAI 2010, 2010
Proceedings of the SIAM International Conference on Data Mining, 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
2009
Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting
CoRR, 2008
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
CoRR, 2008
CoRR, 2008
Estimators and tail bounds for dimension reduction in <i>l<sub>α</sub></i> (0 < α ≤ 2) using stable random projections.
Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in <i>l</i><sub>1</sub> Using Cauchy Random Projections.
J. Mach. Learn. Res., 2007
Comput. Linguistics, 2007
A Unified Near-Optimal Estimator For Dimension Reduction in l<sub>alpha</sub>(0 < alpha <= 2) Using Stable Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Very sparse stable random projections for dimension reduction in <i>l</i>alpha (0 <alpha<=2) norm.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
2006
IEEE Trans. Inf. Theory, 2006
Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections
CoRR, 2006
Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections
CoRR, 2006
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
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005