Papers
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models
Ziyu Wang, Shuyu Cheng, Li Yueru et al.
Balanced Off-Policy Evaluation in General Action Spaces
Arjun Sondhi, David Arbour, Drew Dimmery
Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration
Matteo Papini, Andrea Battistello, Marcello Restelli
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao, Guanghui Wang, Lijun Zhang et al.
Bandit optimisation of functions in the Matérn kernel RKHS
David Janz, David Burt, Javier Gonzalez
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
Kaspar Märtens, Christopher Yau
Bayesian experimental design using regularized determinantal point processes
Michal Derezinski, Feynman Liang, Michael Mahoney
Bayesian Image Classification with Deep Convolutional Gaussian Processes
Vincent Dutordoir, Mark Wilk, Artem Artemev et al.
Bayesian Reinforcement Learning via Deep, Sparse Sampling
Divya Grover, Debabrota Basu, Christos Dimitrakakis
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.