Papers
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Yi Wu, Siddharth Srivastava, Nicholas Hay et al.
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
Xi Wu, Uyeong Jang, Jiefeng Chen et al.
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
Jiaxiang Wu, Weidong Huang, Junzhou Huang et al.
SQL-Rank: A Listwise Approach to Collaborative Ranking
Liwei Wu, Cho-Jui Hsieh, James Sharpnack
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
Huasen Wu, Xueying Guo, Xin Liu
Local Density Estimation in High Dimensions
Xian Wu, Moses Charikar, Vishnu Natchu
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
Eric Wong, Zico Kolter
Towards Fast Computation of Certified Robustness for ReLU Networks
Lily Weng, Huan Zhang, Hongge Chen et al.
Deep Predictive Coding Network for Object Recognition
Haiguang Wen, Kuan Han, Junxing Shi et al.
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration
Gellert Weisz, Andras Gyorgy, Csaba Szepesvari
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna Weinshall, Gad Cohen, Dan Amir
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
Shuaiwen Wang, Wenda Zhou, Haihao Lu et al.
Stein Variational Message Passing for Continuous Graphical Models
Dilin Wang, Zhe Zeng, Qiang Liu
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Yaqing Wang, Quanming Yao, James Tin-Yau Kwok et al.
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
Xue Wang, Mingcheng Wei, Tao Yao
Adversarial Distillation of Bayesian Neural Network Posteriors
Kuan-Chieh Wang, Paul Vicol, James Lucas et al.
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang et al.
Provable Variable Selection for Streaming Features
Jing Wang, Jie Shen, Ping Li
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Beilun Wang, Arshdeep Sekhon, Yanjun Qi
Coded Sparse Matrix Multiplication
Sinong Wang, Jiashang Liu, Ness Shroff
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
Xingyu Wang, Diego Klabjan
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long et al.
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang, Wei Chen