Papers
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
Online Learning with a Hint
Ofer Dekel, arthur flajolet, Nika Haghtalab et al.
Maximum Margin Interval Trees
Alexandre Drouin, Toby Hocking, Francois Laviolette
Multi-View Decision Processes: The Helper-AI Problem
Christos Dimitrakakis, David C. Parkes, Goran Radanovic et al.
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W Killian, Samuel Daulton, George Konidaris et al.
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Seyed Iranmanesh et al.
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun et al.
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar, Soumyabrata Pal
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong et al.
Uprooting and Rerooting Higher-Order Graphical Models
Mark Rowland, Adrian Weller
Process-constrained batch Bayesian optimisation
Pratibha Vellanki, Santu Rana, Sunil Gupta et al.
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
Qi Lou, Rina Dechter, Alex Ihler
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu et al.
Elementary Symmetric Polynomials for Optimal Experimental Design
Zelda E. Mariet, Suvrit Sra
Best Response Regression
Omer Ben-Porat, Moshe Tennenholtz
Convolutional Gaussian Processes
Mark van der Wilk, Carl Edward Rasmussen, James Hensman