Papers
Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L Sharpnack et al.
High-Order Attention Models for Visual Question Answering
Idan Schwartz, Alexander Schwing, Tamir Hazan
Hindsight Experience Replay
Marcin Andrychowicz, Filip Wolski, Alex Ray et al.
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
Moustapha M Cisse, Yossi Adi, Natalia Neverova et al.
How regularization affects the critical points in linear networks
Amirhossein Taghvaei, Jin W Kim, Prashant Mehta
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
Saurabh Verma, Zhi-Li Zhang
Hybrid Reward Architecture for Reinforcement Learning
Harm Van Seijen, Mehdi Fatemi, Joshua Romoff et al.
Hypothesis Transfer Learning via Transformation Functions
Simon S Du, Jayanth Koushik, Aarti Singh et al.
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis, Tom Nicholson, Marc Deisenroth et al.
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Imagination-Augmented Agents for Deep Reinforcement Learning
Sébastien Racanière, Theophane Weber, David Reichert et al.
Implicit Regularization in Matrix Factorization
Suriya Gunasekar, Blake E Woodworth, Srinadh Bhojanapalli et al.
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang, Tianbao Yang, Jinfeng Yi et al.
Improved Graph Laplacian via Geometric Self-Consistency
Dominique Joncas, Marina Meila, James McQueen
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky et al.
Improving the Expected Improvement Algorithm
Chao Qin, Diego Klabjan, Daniel Russo
Incorporating Side Information by Adaptive Convolution
Di Kang, Debarun Dhar, Antoni Chan
Independence clustering (without a matrix)
Daniil Ryabko
Inductive Representation Learning on Large Graphs
Will Hamilton, Zhitao Ying, Jure Leskovec
Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat A Erdogdu, Yash Deshpande, Andrea Montanari
Inferring Generative Model Structure with Static Analysis
Paroma Varma, Bryan D He, Payal Bajaj et al.
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions
Qiang Li, Wei Chen, Institute of Computing Xiaoming Sun et al.
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li, Jiaming Song, Stefano Ermon