Papers
Dynamic Routing Between Capsules
Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton
Sharpness, Restart and Acceleration
Vincent Roulet, Alexandre d'Aspremont
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Liu, Brent Coull
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Byron Boots et al.
Population Matching Discrepancy and Applications in Deep Learning
Jianfei Chen, Chongxuan LI, Yizhong Ru et al.
Decoding with Value Networks for Neural Machine Translation
Di He, Hanqing Lu, Yingce Xia et al.
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Pérolat, Joel Z. Leibo, Vinicius Zambaldi et al.
Group Additive Structure Identification for Kernel Nonparametric Regression
Chao Pan, Michael Zhu
Reliable Decision Support using Counterfactual Models
Peter Schulam, Suchi Saria
Lower bounds on the robustness to adversarial perturbations
Jonathan Peck, Joris Roels, Bart Goossens et al.
Experimental Design for Learning Causal Graphs with Latent Variables
Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim
Scalable Generalized Linear Bandits: Online Computation and Hashing
Kwang-Sung Jun, Aniruddha Bhargava, Robert Nowak et al.
Deep Dynamic Poisson Factorization Model
Chengyue Gong, win-bin huang
Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang, Liam Solus, Karren Yang et al.
Reconstruct & Crush Network
Erinc Merdivan, Mohammad Reza Loghmani, Matthieu Geist
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
Mingrui Liu, Tianbao Yang
Parallel Streaming Wasserstein Barycenters
Matthew Staib, Sebastian Claici, Justin M Solomon et al.
Collecting Telemetry Data Privately
Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin
Recycling Privileged Learning and Distribution Matching for Fairness
Novi Quadrianto, Viktoriia Sharmanska
Gradient Methods for Submodular Maximization
Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi
Question Asking as Program Generation
Anselm Rothe, Brenden M Lake, Todd Gureckis
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song, Shengjia Zhao, Stefano Ermon
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions
M. Sevi Baltaoglu, Lang Tong, Qing Zhao
DPSCREEN: Dynamic Personalized Screening
Kartik Ahuja, William Zame, Mihaela van der Schaar