Papers
Best-item Learning in Random Utility Models with Subset Choices
Aadirupa Saha, Aditya Gopalan
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
Yanshuai Cao, Peng Xu
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
António H. Ribeiro, Koen Tiels, Luis A. Aguirre et al.
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
Vaggos Chatziafratis, Grigory Yaroslavtsev, Euiwoong Lee et al.
Black-Box Inference for Non-Linear Latent Force Models
Wil Ward, Tom Ryder, Dennis Prangle et al.
Black Box Submodular Maximization: Discrete and Continuous Settings
Lin Chen, Mingrui Zhang, Hamed Hassani et al.
“Bring Your Own Greedy”+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack
Grigory Yaroslavtsev, Samson Zhou, Dmitrii Avdiukhin
Budget-Constrained Bandits over General Cost and Reward Distributions
Semih Cayci, Atilla Eryilmaz, R Srikant
Budget Learning via Bracketing
Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
Sangdon Park, Osbert Bastani, James Weimer et al.
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
Han Bao, Masashi Sugiyama
Causal Bayesian Optimization
Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes et al.
Causal inference in degenerate systems: An impossibility result
Yue Wang, Linbo Wang
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
Pengzhou Wu, Kenji Fukumizu
Censored Quantile Regression Forest
Alexander Hanbo Li, Jelena Bradic
Characterization of Overlap in Observational Studies
Michael Oberst, Fredrik Johansson, Dennis Wei et al.
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy et al.
Choosing the Sample with Lowest Loss makes SGD Robust
Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls
Jiacheng Zhuo, Qi Lei, Alex Dimakis et al.
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
Boyue Li, Shicong Cen, Yuxin Chen et al.
Competing Bandits in Matching Markets
Lydia T. Liu, Horia Mania, Michael Jordan
Computing Tight Differential Privacy Guarantees Using FFT
Antti Koskela, Joonas Jälkö, Antti Honkela
Conditional Importance Sampling for Off-Policy Learning
Mark Rowland, Anna Harutyunyan, Hado Hasselt et al.
Conditional Linear Regression
Diego Calderon, Brendan Juba, Sirui Li et al.
Conservative Exploration in Reinforcement Learning
Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.