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Workshop
A code superoptimizer through neural Monte-Carlo tree search
Wenda Zhou · Olga Solodova · Ryan Adams
Workshop
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density
Curtis McDonald · Andrew Barron
Workshop
Sat 8:55 A code superoptimizer through neural Monte-Carlo tree search
Wenda Zhou · Olga Solodova · Ryan Adams
Poster
Tue 14:00 Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Weirui Ye · Pieter Abbeel · Yang Gao
Poster
Wed 9:00 Distributionally Robust Optimization via Ball Oracle Acceleration
Yair Carmon · Danielle Hausler
Poster
Tue 14:00 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang · Gabriel Bender · Hanxiao Liu · Pieter-Jan Kindermans · Madeleine Udell · Yifeng Lu · Quoc V Le · Da Huang
Poster
Wed 14:00 Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
Poster
Thu 9:00 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
Poster
Trustworthy Monte Carlo
Juha Harviainen · Mikko Koivisto · Petteri Kaski
Poster
Thu 9:00 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
Poster
Wed 9:00 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
Workshop
Stochastic Gradient Estimator for Differentiable NAS
Libin Hou · Linyuan Wang · Qi Peng · Bin Yan