Papers
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
Aryeh Kontorovich, Sivan Sabato, Roi Weiss
An Empirical Study on The Properties of Random Bases for Kernel Methods
Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt et al.
Online Learning for Multivariate Hawkes Processes
Yingxiang Yang, Jalal Etesami, Niao He et al.
Conic Scan-and-Cover algorithms for nonparametric topic modeling
Mikhail Yurochkin, Aritra Guha, Xuanlong Nguyen
Learning Neural Representations of Human Cognition across Many fMRI Studies
Arthur Mensch, Julien Mairal, Danilo Bzdok et al.
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal, Jean Honorio
Regret Minimization in MDPs with Options without Prior Knowledge
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric et al.
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal ALIAS PARTH GOYAL, Alessandro Sordoni, Marc-Alexandre Côté et al.
Subset Selection and Summarization in Sequential Data
Ehsan Elhamifar, M. Clara De Paolis Kaluza
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton, Frederic Koehler, Ankur Moitra
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell, Zhiao Huang, Jia Deng
Teaching Machines to Describe Images with Natural Language Feedback
huan ling, Sanja Fidler
Gauging Variational Inference
Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin
Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat A Erdogdu, Yash Deshpande, Andrea Montanari
Repeated Inverse Reinforcement Learning
Kareem Amin, Nan Jiang, Satinder Singh
Visual Interaction Networks: Learning a Physics Simulator from Video
Nicholas Watters, Daniel Zoran, Theophane Weber et al.
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du et al.
Learning Active Learning from Data
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Neural system identification for large populations separating “what” and “where”
David Klindt, Alexander S Ecker, Thomas Euler et al.
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe, David Fridovich-Keil, Claire Tomlin
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu, Elad Hazan, Wei Hu et al.
Nonbacktracking Bounds on the Influence in Independent Cascade Models
Emmanuel Abbe, Sanjeev Kulkarni, Eun Jee Lee
A Unified Approach to Interpreting Model Predictions
Scott M Lundberg, Su-In Lee
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner et al.
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen, Cong Xu, Feng Yan et al.