Publications (71)
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton +3
A Spectral Algorithm for Latent Junction Trees
Ankur P. Parikh, Le Song, Mariya Ishteva +2
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
Yuyu Zhang, Hanjun Dai, Kamil Toraman +1
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva +2
Fast and Simple Optimization for Poisson Likelihood Models
Niao He, Zaid Harchaoui, Yichen Wang +1
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang +1
A state-space mixed membership blockmodel for dynamic network tomography
Eric P. Xing, Wenjie Fu, Le Song
Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson +2
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai +1
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian +4
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai, Yingtao Tian, Bo Dai +2
Supervised Feature Selection via Dependence Estimation
Le Song, Alex Smola, Arthur Gretton +2
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song +1
Communication Efficient Distributed Kernel Principal Component Analysis
Maria-Florina Balcan, Yingyu Liang, Le Song +2
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen, Jun Zhu, Le Song
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye +3
Budgeted Influence Maximization for Multiple Products
Nan Du, Yingyu Liang, Maria Florina Balcan +1
Learning Combinatorial Optimization Algorithms over Graphs
Hanjun Dai, Elias B. Khalil, Yuyu Zhang +2
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar +3
Smart broadcasting: Do you want to be seen?
Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar +2
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez +3
A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media
Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran +2
Reinforcement Learning for Uplift Modeling
Chenchen Li, Xiang Yan, Xiaotie Deng +6
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez +1
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning
Le Song, Han Liu, Ankur Parikh +1
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits
Shuang Li, Yao Xie, Le Song
Estimating time-varying networks
Mladen Kolar, Le Song, Amr Ahmed +1
Active Learning and Best-Response Dynamics
Maria-Florina Balcan, Chris Berlind, Avrim Blum +3
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li +4
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi, Mohammad Taha Bahadori, Le Song +2
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du +3
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu, Chang Liu, Qian Feng +3
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai, Albert Shaw, Lihong Li +5
Detecting weak changes in dynamic events over networks
Shuang Li, Yao Xie, Mehrdad Farajtabar +2
Online Supervised Subspace Tracking
Yao Xie, Ruiyang Song, Hanjun Dai +2
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu +3
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Mehrdad Farajtabar +3
Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster
Amr Ahmed, Le Song, Eric P. Xing
Double Neural Counterfactual Regret Minimization
Hui Li, Kailiang Hu, Zhibang Ge +3
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
Yichen Wang, Evangelos Theodorou, Apurv Verma +1
Latent Dirichlet Allocation for Internet Price War
Chenchen Li, Xiang Yan, Xiaotie Deng +6
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang, Le Song
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
Nan Du, Yingyu Liang, Maria-Florina Balcan +3
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
Hanjun Dai, Yichen Wang, Rakshit Trivedi +1
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Hanjun Dai +1
Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks
Qirong Ho, Ankur P. Parikh, Le Song +1
A la Carte - Learning Fast Kernels
Zichao Yang, Alexander J. Smola, Le Song +1
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li +3
Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu +5
Multistage Campaigning in Social Networks
Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati +2
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He +4
Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez +3
Fake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye +6
Iterative Learning with Open-set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma +4
Scan $B$-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai +1
On the Complexity of Learning Neural Networks
Le Song, Santosh Vempala, John Wilmes +1
Stochastic Generative Hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar +2
Kernel Bayes' rule
Kenji Fukumizu, Le Song, Arthur Gretton
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Jianbo Chen, Le Song, Martin J. Wainwright +1
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan +2
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis +2
Boosting the Actor with Dual Critic
Bo Dai, Albert Shaw, Niao He +2
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, Martin J. Wainwright +1
Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu +3
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Yichen Wang, Le Song, Hongyuan Zha
Deep Semi-Random Features for Nonlinear Function Approximation
Kenji Kawaguchi, Bo Xie, Vikas Verma +1
Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park, Le Song
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4