Papers
Multi-Player Bandits – a Musical Chairs Approach
Jonathan Rosenski, Ohad Shamir, Liran Szlak
Near Optimal Behavior via Approximate State Abstraction
David Abel, David Hershkowitz, Michael Littman
Network Morphism
Tao Wei, Changhu Wang, Yong Rui et al.
Neural Variational Inference for Text Processing
Yishu Miao, Lei Yu, Phil Blunsom
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, Misha Denil et al.
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
Qinliang Su, Xuejun Liao, Changyou Chen et al.
Non-negative Matrix Factorization under Heavy Noise
Chiranjib Bhattacharya, Navin Goyal, Ravindran Kannan et al.
Nonparametric Canonical Correlation Analysis
Tomer Michaeli, Weiran Wang, Karen Livescu
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Dengyong Zhou
No penalty no tears: Least squares in high-dimensional linear models
Xiangyu Wang, David Dunson, Chenlei Leng
No-Regret Algorithms for Heavy-Tailed Linear Bandits
Andres Munoz Medina, Scott Yang
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, Bhargava Kota et al.
On collapsed representation of hierarchical Completely Random Measures
Gaurav Pandey, Ambedkar Dukkipati
One-Shot Generalization in Deep Generative Models
Danilo Rezende, Shakir, Ivo Danihelka et al.
On Graduated Optimization for Stochastic Non-Convex Problems
Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan, Tomer Koren
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit
Jie Shen, Ping Li, Huan Xu
Online Stochastic Linear Optimization under One-bit Feedback
Lijun Zhang, Tianbao Yang, Rong Jin et al.
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search
Piyush Khandelwal, Elad Liebman, Scott Niekum et al.
On the Consistency of Feature Selection With Lasso for Non-linear Targets
Yue Zhang, Weihong Guo, Soumya Ray
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
Yossi Arjevani, Ohad Shamir
On the Power and Limits of Distance-Based Learning
Periklis Papakonstantinou, Jia Xu, Guang Yang
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran, Ohad Shamir
On the Statistical Limits of Convex Relaxations
Zhaoran Wang, Quanquan Gu, Han Liu
Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd-Graber, Kevin Kwok et al.