Papers
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
RUI GAO, Liyan Xie, Yao Xie et al.
Byzantine Stochastic Gradient Descent
Dan Alistarh, Zeyuan Allen-Zhu, Jerry Li
Dialog-based Interactive Image Retrieval
Xiaoxiao Guo, Hui Wu, Yu Cheng et al.
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman et al.
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan et al.
Adding One Neuron Can Eliminate All Bad Local Minima
SHIYU LIANG, Ruoyu Sun, Jason Lee et al.
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir H Khoshaman, Mohammad Amin
Reinforcement Learning for Solving the Vehicle Routing Problem
MohammadReza Nazari, Afshin Oroojlooy, Lawrence Snyder et al.
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat, Evgeny Andriyash, William Macready
Adaptive Learning with Unknown Information Flows
Yonatan Gur, Ahmadreza Momeni
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
Xing Yan, Weizhong Zhang, Lin Ma et al.
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka et al.
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Fabian Sinz, Alexander S Ecker, Paul Fahey et al.
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean, Sang Michael Xie, Stefano Ermon
Online convex optimization for cumulative constraints
Jianjun Yuan, Andrew Lamperski
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen, Difan Zou et al.
Size-Noise Tradeoffs in Generative Networks
Bolton Bailey, Matus J Telgarsky
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Matthew D. Hoffman, Matthew J Johnson, Dustin Tran
On Misinformation Containment in Online Social Networks
Amo Tong, Ding-Zhu Du, Weili Wu
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez, Jeffrey Regier, Michael I Jordan et al.
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte et al.
Data-dependent PAC-Bayes priors via differential privacy
Gintare Karolina Dziugaite, Daniel M. Roy
Entropy Rate Estimation for Markov Chains with Large State Space
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee et al.
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan et al.