Papers
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan, Shiqian Ma, Yu-Hong Dai et al.
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo, Yujia Li, Raquel Urtasun et al.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas et al.
A Probabilistic Framework for Deep Learning
Ankit B Patel, Minh Tan Nguyen, Richard Baraniuk
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu, Yuanzhi Li
Sample Complexity of Automated Mechanism Design
Maria-Florina F Balcan, Tuomas Sandholm, Ellen Vitercik
Optimizing affinity-based binary hashing using auxiliary coordinates
Ramin Raziperchikolaei, Miguel A. Carreira-Perpinan
Stochastic Online AUC Maximization
Yiming Ying, Longyin Wen, Siwei Lyu
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
Clustering with Bregman Divergences: an Asymptotic Analysis
Chaoyue Liu, Mikhail Belkin
Strategic Attentive Writer for Learning Macro-Actions
Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero et al.
Deep Learning Games
Dale Schuurmans, Martin A Zinkevich
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
Xiang Li, Tao Qin, Jian Yang et al.
Safe and Efficient Off-Policy Reinforcement Learning
Remi Munos, Tom Stepleton, Anna Harutyunyan et al.
Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel et al.
Simple and Efficient Weighted Minwise Hashing
Anshumali Shrivastava
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Kevin Jing et al.
Value Iteration Networks
Aviv Tamar, YI WU, Garrett Thomas et al.
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin V Nair, Pieter Abbeel et al.
DISCO Nets : DISsimilarity COefficients Networks
Diane Bouchacourt, Pawan K Mudigonda, Sebastian Nowozin
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
Elad Hazan, Tengyu Ma
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai et al.
Stochastic Variational Deep Kernel Learning
Andrew G Wilson, Zhiting Hu, Ruslan Salakhutdinov et al.
Pairwise Choice Markov Chains
Stephen Ragain, Johan Ugander