Le Song

IEEE Trans. Instrum. Meas., 2020

Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2020

DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Understanding Deep Architectures with Reasoning Layer.

[BibT_eX]

[DOI]

CoRR, 2020

Intention Propagation for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Orthogonal Over-Parameterized Training.

[BibT_eX]

[DOI]

CoRR, 2020

A Two-Layer Network Model Reveals the Adhesion Scientist Career Stage and Research Topic in China.

[BibT_eX]

[DOI]

Yinghong Ma

Zhaoxun Ji

IEEE Access, 2020

Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data.

[BibT_eX]

[DOI]

Yinghong Ma

Qiaozheng Chi

IEEE Access, 2020

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bandit Samplers for Training Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Deep Architecture with Reasoning Layer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning To Stop While Learning To Predict.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Temporal Logic Point Processes.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learn to Explain Efficiently via Neural Logic Inductive Learning.

[BibT_eX]

[DOI]

Yuan Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

GLAD: Learning Sparse Graph Recovery.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Double Neural Counterfactual Regret Minimization.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

RNA Secondary Structure Prediction By Learning Unrolled Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Question Directed Graph Attention Network for Numerical Reasoning over Text.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Code2Inv: A Deep Learning Framework for Program Verification.

[BibT_eX]

[DOI]

Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

Cost-Effective Incentive Allocation via Structured Counterfactual Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Optimal Solution Predictions for Mixed Integer Programs.

[BibT_eX]

[DOI]

CoRR, 2019

Compressive Hyperspherical Energy Minimization.

[BibT_eX]

[DOI]

CoRR, 2019

Can Graph Neural Networks Help Logic Reasoning?

[BibT_eX]

[DOI]

CoRR, 2019

GLAD: Learning Sparse Graph Recovery.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Plan via Neural Exploration-Exploitation Trees.

[BibT_eX]

[DOI]

Binghong Chen

CoRR, 2019

Meta Particle Flow for Sequential Bayesian Inference.

[BibT_eX]

[DOI]

Xinshi Chen

Hanjun Dai

CoRR, 2019

Dynamic Force Transducer Calibration Based on Electrostatic Force.

[BibT_eX]

[DOI]

IEEE Access, 2019

Unsupervised Learning Grouping-Based Resampling for Particle Filters.

[BibT_eX]

[DOI]

Weiming Yang

Clarence Augustine Th Tee

Yelong Zheng

Yuliang Liu

IEEE Access, 2019

Meta Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exponential Family Estimation via Adversarial Dynamics Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Retrosynthesis Prediction with Conditional Graph Logic Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning From Networks: Algorithms, Theory, and Applications.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large Scale Evolving Graphs with Burst Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Particle Flow Bayes' Rule.

[BibT_eX]

[DOI]

Xinshi Chen

Hanjun Dai

Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning a Meta-Solver for Syntax-Guided Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

On-Chip Health Monitoring Based on DE-Cluster in 2.5D ICs.

[BibT_eX]

[DOI]

Libao Deng

Ning Sun

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Kernel Exponential Family Estimation via Doubly Dual Embedding.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Language Modeling with Shared Grammar.

[BibT_eX]

[DOI]

Yuyu Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Latent Dirichlet Allocation for Internet Price War.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimization of Electrostatic Force System Based on Newton Interpolation Method.

[BibT_eX]

[DOI]

J. Sensors, 2018

Neural Model-Based Reinforcement Learning for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Double Neural Counterfactual Regret Minimization.

[BibT_eX]

[DOI]

CoRR, 2018

Bayesian Meta-network Architecture Learning.

[BibT_eX]

[DOI]

CoRR, 2018

A Policy Gradient Method with Variance Reduction for Uplift Modeling.

[BibT_eX]

[DOI]

CoRR, 2018

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Optimize via Wasserstein Deep Inverse Optimal Control.

[BibT_eX]

[DOI]

CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

[BibT_eX]

[DOI]

CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning Loop Invariants for Program Verification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning towards Minimum Hyperspherical Energy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Black-box Iterative Machine Teaching.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Attack on Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Steady-States of Iterative Algorithms over Graphs.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction.

[BibT_eX]

[DOI]

Jianfei Chen

Jun Zhu

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Syntax-Directed Variational Autoencoder for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Boosting the Actor with Dual Critic.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Iterative Learning With Open-Set Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Decoupled Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.

[BibT_eX]

[DOI]

Apurv Verma

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Multi-scale Nystrom Method.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Variational Reasoning for Question Answering With Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Semi-Random Features for Nonlinear Function Approximation.

[BibT_eX]

[DOI]

Kenji Kawaguchi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting Changes in Dynamic Events Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

The Differential Method for Force Measurement Based on Electrostatic Force.

[BibT_eX]

[DOI]

J. Sensors, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

[BibT_eX]

[DOI]

Shuang Li

J. Mach. Learn. Res., 2017

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.

[BibT_eX]

[DOI]

Nan Du

Maria-Florina Balcan

J. Mach. Learn. Res., 2017

Smoothed Dual Embedding Control.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Hyperspherical Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Black-box Iterative Machine Teaching.

[BibT_eX]

[DOI]

CoRR, 2017

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.

[BibT_eX]

[DOI]

CoRR, 2017

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.

[BibT_eX]

[DOI]

Grady Williams

CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Iterative Machine Teaching.

[BibT_eX]

[DOI]

CoRR, 2017

Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape.

[BibT_eX]

[DOI]

Bioinform., 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Wasserstein Learning of Deep Generative Point Process Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Complexity of Learning Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Hyperspherical Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Combinatorial Optimization Algorithms over Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.

[BibT_eX]

[DOI]

Edward Choi

Mohammad Taha Bahadori

Walter F. Stewart

Jimeng Sun

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Variational Policy for Guiding Point Processes.

[BibT_eX]

[DOI]

Grady Williams

Proceedings of the 34th International Conference on Machine Learning, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Iterative Machine Teaching.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Generative Hashing.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

SphereFace: Deep Hypersphere Embedding for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning from Conditional Distributions via Dual Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Diverse Neural Network Learns True Target Functions.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.

[BibT_eX]

[DOI]

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Influence Estimation and Maximization in Continuous-Time Diffusion Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2016

Reduction of Kinematic Short Baseline Multipath Effects Based on Multipath Hemispherical Map.

[BibT_eX]

[DOI]

Sensors, 2016

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.

[BibT_eX]

[DOI]

Hadi Daneshmand

Bernhard Schölkopf

J. Mach. Learn. Res., 2016

Steering Opinion Dynamics in Information Diffusion Networks.

[BibT_eX]

[DOI]

Apurv Verma

CoRR, 2016

Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits.

[BibT_eX]

[DOI]

Shuang Li

Yao Xie

CoRR, 2016

Detecting weak changes in dynamic events over networks.

[BibT_eX]

[DOI]

CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.

[BibT_eX]

[DOI]

CoRR, 2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2016

Learning from Conditional Distributions via Dual Kernel Embeddings.

[BibT_eX]

[DOI]

CoRR, 2016

Diversity Leads to Generalization in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multistage Campaigning in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Smart Broadcasting: Do You Want to be Seen?

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Communication Efficient Distributed Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Isotonic Hawkes Processes.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Discriminative Embeddings of Latent Variable Models for Structured Data.

[BibT_eX]

[DOI]

Hanjun Dai

Proceedings of the 33nd International Conference on Machine Learning, 2016

The Nonparametric Kernel Bayes Smoother.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Provable Bayesian Inference via Particle Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning to Branch in Mixed Integer Programming.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Correlated Cascades: Compete or Cooperate.

[BibT_eX]

[DOI]

CoRR, 2015

Online Supervised Subspace Tracking.

[BibT_eX]

[DOI]

CoRR, 2015

A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media.

[BibT_eX]

[DOI]

CoRR, 2015

Scalable Bayesian Inference via Particle Mirror Descent.

[BibT_eX]

[DOI]

CoRR, 2015

Distributed Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

CoRR, 2015

Spiral tool path generation for diamond turning optical freeform surfaces of quasi-revolution.

[BibT_eX]

[DOI]

Comput. Aided Des., 2015

Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

NetCodec: Community Detection from Individual Activities.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

M-Statistic for Kernel Change-Point Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Time-Sensitive Recommendation From Recurrent User Activities.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Deep Fried Convnets.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A la Carte - Learning Fast Kernels.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Shaping Social Activity by Incentivizing Users.

[BibT_eX]

[DOI]

Nan Du

Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Time-Varying Coverage Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable Kernel Methods via Doubly Stochastic Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Active Learning and Best-Response Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable diffusion-aware optimization of network topology.

[BibT_eX]

[DOI]

Elias Boutros Khalil

Bistra Dilkina

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.

[BibT_eX]

[DOI]

Animashree Anandkumar

Proceedings of the 31th International Conference on Machine Learning, 2014

Influence Function Learning in Information Diffusion Networks.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.

[BibT_eX]

[DOI]

Hadi Daneshmand

Bernhard Schölkopf

Proceedings of the 31th International Conference on Machine Learning, 2014

Least Squares Revisited: Scalable Approaches for Multi-class Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models.

[BibT_eX]

[DOI]

Kenji Fukumizu

IEEE Signal Process. Mag., 2013

Kernel Bayes' rule: Bayesian inference with positive definite kernels.

[BibT_eX]

[DOI]

Kenji Fukumizu

J. Mach. Learn. Res., 2013

Calibration Method for Stereovision Measurement of High-Temperature Components Using Two Infrared Cameras.

[BibT_eX]

[DOI]

Zihui Zhang

Int. J. Autom. Technol., 2013

A biologically-inspired embedded monitoring network system for moving target detection in panoramic view.

[BibT_eX]

[DOI]

Zihui Zhang

Haoyang Zhang

EURASIP J. Wirel. Commun. Netw., 2013

Continuous-Time Influence Maximization for Multiple Items.

[BibT_eX]

[DOI]

CoRR, 2013

Poly(A) motif prediction using spectral latent features from human DNA sequences.

[BibT_eX]

[DOI]

Bioinform., 2013

Robust Low Rank Kernel Embeddings of Multivariate Distributions.

[BibT_eX]

[DOI]

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

Scalable Influence Estimation in Continuous-Time Diffusion Networks.

[BibT_eX]

[DOI]

Nan Du

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

Learning Triggering Kernels for Multi-dimensional Hawkes Processes.

[BibT_eX]

[DOI]

Ke Zhou

Proceedings of the 30th International Conference on Machine Learning, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Unfolding Latent Tree Structures using 4th Order Tensors.

[BibT_eX]

[DOI]

Mariya Ishteva

Haesun Park

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.

[BibT_eX]

[DOI]

Ke Zhou

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Uncover Topic-Sensitive Information Diffusion Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Feature Selection via Dependence Maximization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

A Spectral Algorithm for Latent Junction Trees.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning Networks of Heterogeneous Influence.

[BibT_eX]

[DOI]

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

Adaptive control of a quadruped robot based on Central Pattern Generators.

[BibT_eX]

[DOI]

Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

2011

Kernel Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.

[BibT_eX]

[DOI]

Qirong Ho

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TVNViewer: An interactive visualization tool for exploring networks that change over time or space.

[BibT_eX]

[DOI]

Bioinform., 2011

Kernel Embeddings of Latent Tree Graphical Models.

[BibT_eX]

[DOI]

Ankur P. Parikh

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

Kernel Bayes' Rule.

[BibT_eX]

[DOI]

Kenji Fukumizu

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

Spectral Methods for Learning Multivariate Latent Tree Structure.

[BibT_eX]

[DOI]

Animashree Anandkumar

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

A Spectral Algorithm for Latent Tree Graphical Models.

[BibT_eX]

[DOI]

Ankur P. Parikh

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Discriminative frequent subgraph mining with optimality guarantees.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2010

Kernelized Sorting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Nonparametric Tree Graphical Models.

[BibT_eX]

[DOI]

Carlos Guestrin

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Nonlinear Dynamic Models from Non-sequenced Data.

[BibT_eX]

[DOI]

Tzu-Kuo Huang

Jeff G. Schneider

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Research on sentiment classification of Blog based on PMI-IR.

[BibT_eX]

[DOI]

Xiuting Duan

Tingting He

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Hilbert Space Embeddings of Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Relative Novelty Detection.

[BibT_eX]

[DOI]

Alexander J. Smola

Choon Hui Teo

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

KELLER: estimating time-varying interactions between genes.

[BibT_eX]

[DOI]

Mladen Kolar

Bioinform., 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

Time-Varying Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Mladen Kolar

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

Sparsistent Learning of Varying-coefficient Models with Structural Changes.

[BibT_eX]

[DOI]

Mladen Kolar

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

Hilbert space embeddings of conditional distributions with applications to dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Dynamic mixed membership blockmodel for evolving networks.

[BibT_eX]

[DOI]

Wenjie Fu

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Kernel Measures of Independence for non-iid Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Kernelized Sorting.

[BibT_eX]

[DOI]

Novi Quadrianto

Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tailoring density estimation via reproducing kernel moment matching.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features.

[BibT_eX]

[DOI]

Julien Epps

Comput. Intell. Neurosci., 2007

Colored Maximum Variance Unfolding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Kernel Statistical Test of Independence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Gene selection via the BAHSIC family of algorithms.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Study on the Vision Reading Algorithm based on Template Matching and Neural Network.

[BibT_eX]

[DOI]

Yuchi Lin

Proceedings of the International Joint Conference on Neural Networks, 2007

Method for Automatic Image Recognition based on Algorithm Fusion.

[BibT_eX]

[DOI]