Papers
Deep Generative Models for Relational Data with Side Information
Changwei Hu, Piyush Rai, Lawrence Carin
State-Frequency Memory Recurrent Neural Networks
Hao Hu, Guo-Jun Qi
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui et al.
Dissipativity Theory for Nesterov’s Accelerated Method
Bin Hu, Laurent Lessard
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
Andrea Horňáková, Jan-Hendrik Lange, Bjoern Andres
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao
Minimizing Trust Leaks for Robust Sybil Detection
János Höner, Shinichi Nakajima, Alexander Bauer et al.
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
Matthew D. Hoffman
Multilevel Clustering via Wasserstein Means
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin et al.
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
Jun-ichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal, Andrei Rusu et al.
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp et al.
Warped Convolutions: Efficient Invariance to Spatial Transformations
João F. Henriques, Andrea Vedaldi
The Sample Complexity of Online One-Class Collaborative Filtering
Reinhard Heckel, Kannan Ramchandran
Kernelized Support Tensor Machines
Lifang He, Chun-Ta Lu, Guixiang Ma et al.
Efficient Regret Minimization in Non-Convex Games
Elad Hazan, Karan Singh, Cyril Zhang
Robust Guarantees of Stochastic Greedy Algorithms
Avinatan Hassidim, Yaron Singer
Deep IV: A Flexible Approach for Counterfactual Prediction
Jason Hartford, Greg Lewis, Kevin Leyton-Brown et al.
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley
Data-Efficient Policy Evaluation Through Behavior Policy Search
Josiah P. Hanna, Philip S. Thomas, Peter Stone et al.
Faster Greedy MAP Inference for Determinantal Point Processes
Insu Han, Prabhanjan Kambadur, Kyoungsoo Park et al.
Consistent On-Line Off-Policy Evaluation
Assaf Hallak, Shie Mannor
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan Hadjeres, François Pachet, Frank Nielsen
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel et al.
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli, Mohammad Norouzi, Anelia Angelova