Papers
Hybrid Reward Architecture for Reinforcement Learning
Harm Van Seijen, Mehdi Fatemi, Joshua Romoff et al.
Introspective Classification with Convolutional Nets
Long Jin, Justin Lazarow, Zhuowen Tu
Safe Adaptive Importance Sampling
Sebastian U Stich, Anant Raj, Martin Jaggi
Spherical convolutions and their application in molecular modelling
Wouter Boomsma, Jes Frellsen
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David Mcallester et al.
Robust Optimization for Non-Convex Objectives
Robert S. Chen, Brendan Lucier, Yaron Singer et al.
Estimation of the covariance structure of heavy-tailed distributions
Xiaohan Wei, Stanislav Minsker
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis, Tom Nicholson, Marc Deisenroth et al.
Nonlinear random matrix theory for deep learning
Jeffrey Pennington, Pratik Worah
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim et al.
Principles of Riemannian Geometry in Neural Networks
Michael Hauser, Asok Ray
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo A Parrilo et al.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang, Zhilin Yang, William W. Cohen
Approximate Supermodularity Bounds for Experimental Design
Luiz Chamon, Alejandro Ribeiro
Learning Spherical Convolution for Fast Features from 360° Imagery
Yu-Chuan Su, Kristen Grauman
Real-Time Bidding with Side Information
arthur flajolet, Patrick Jaillet
Distral: Robust multitask reinforcement learning
Yee Teh, Victor Bapst, Wojciech M. Czarnecki et al.
Recurrent Ladder Networks
Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao et al.
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
Yi Xu, Qihang Lin, Tianbao Yang
State Aware Imitation Learning
Yannick Schroecker, Charles L Isbell
Online multiclass boosting
Young Hun Jung, Jack Goetz, Ambuj Tewari
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan Huggins, Ryan P. Adams, Tamara Broderick
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu, Anitha Kannan, Jianwei Yang et al.
Deep Hyperalignment
Muhammad Yousefnezhad, Daoqiang Zhang