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