Papers
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
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Chirag Gupta, Arun Sai Suggala, Ankit Goyal et al.
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun et al.
Automated Curriculum Learning for Neural Networks
Alex Graves, Marc G. Bellemare, Jacob Menick et al.
Efficient softmax approximation for GPUs
Grave, Armand Joulin, Moustapha Cissé et al.
Measuring Sample Quality with Kernels
Jackson Gorham, Lester Mackey
Preferential Bayesian Optimization
Javier González, Zhenwen Dai, Andreas Damianou et al.
Convex Phase Retrieval without Lifting via PhaseMax
Tom Goldstein, Christoph Studer
Neural Message Passing for Quantum Chemistry
Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley et al.
On Context-Dependent Clustering of Bandits
Claudio Gentile, Shuai Li, Purushottam Kar et al.