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AISTATS 2020

423 papers

LIBRE: Learning Interpretable Boolean Rule Ensembles

Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi

Uncertainty in Neural Networks: Approximately Bayesian Ensembling

Tim Pearce, Felix Leibfried, Alexandra Brintrup

On the Convergence of SARAH and Beyond

Bingcong Li, Meng Ma, Georgios B. Giannakis

Minimax Bounds for Structured Prediction Based on Factor Graphs

Kevin Bello, Asish Ghoshal, Jean Honorio

A Linear-time Independence Criterion Based on a Finite Basis Approximation

Longfei Yan, W. Bastiaan Kleijn, Thushara Abhayapala

Minimax Testing of Identity to a Reference Ergodic Markov Chain

Geoffrey Wolfer, Aryeh Kontorovich

Non-Parametric Calibration for Classification

Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel)

A Nonparametric Off-Policy Policy Gradient

Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters

Learning Fair Representations for Kernel Models

Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar

Asynchronous Gibbs Sampling

Alexander Terenin, Daniel Simpson, David Draper

A Double Residual Compression Algorithm for Efficient Distributed Learning

Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation

Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang

Nonparametric Sequential Prediction While Deep Learning the Kernel

Guy Uziel

Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs

Guy Uziel, Ran El-Yaniv

Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy

Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar

Fast and Accurate Ranking Regression

Ilkay Yildiz, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo

Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons

Jingyan Wang, Nihar Shah, R Ravi

Multiplicative Gaussian Particle Filter

Xuan Su, Wee Sun Lee, Zhen Zhang

Conditional Importance Sampling for Off-Policy Learning

Mark Rowland, Anna Harutyunyan, Hado Hasselt, Diana Borsa, Tom Schaul

Adaptive Trade-Offs in Off-Policy Learning

Mark Rowland, Will Dabney, Rémi Munos

On Maximization of Weakly Modular Functions: Guarantees of Multi-stage Algorithms, Tractability, and Hardness

Shinsaku Sakaue

Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint

Shinsaku Sakaue

Linearly Convergent Frank-Wolfe with Backtracking Line-Search

Fabian Pedregosa, Geoffrey Negiar, Armin Askari, Martin Jaggi