Maddison, Chris

9 publications

COLT 2024 Minimax Linear Regression Under the Quantile Risk Ayoub El Hanchi, Chris Maddison, Murat Erdogdu

ICML 2022 Augment with Care: Contrastive Learning for Combinatorial Problems Haonan Duan, Pashootan Vaezipoor, Max B Paulus, Yangjun Ruan, Chris Maddison

ICML 2022 Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze, Harry Braviner, Panteha Naderian, Chris Maddison, Gabriel Loaiza-Ganem

ICML 2022 Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning Max B Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris Maddison

ICML 2022 Stochastic Reweighted Gradient Descent Ayoub El Hanchi, David Stephens, Chris Maddison

ICML 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan, Karen Ullrich, Daniel S Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris Maddison

ICML 2021 Oops I Took a Gradient: Scalable Sampling for Discrete Distributions Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris Maddison

ICML 2018 Tighter Variational Bounds Are Not Necessarily Better Tom Rainforth, Adam Kosiorek, Tuan Anh Le, Chris Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh

ICML 2014 Structured Generative Models of Natural Source Code Chris Maddison, Daniel Tarlow