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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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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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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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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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Tue 14:00
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Monte Carlo Tree Descent for Black-Box Optimization
Yaoguang Zhai · Sicun Gao
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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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Poster
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Wed 9:00
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Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis · Chao Ma · José Miguel Hernández-Lobato
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Poster
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Tue 14:00
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Parallel Tempering With a Variational Reference
Nikola Surjanovic · Saifuddin Syed · Alexandre Bouchard-Côté · Trevor Campbell
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Poster
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Thu 14:00
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SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson · Allan Raventós · andrew warrington · Scott Linderman
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Workshop
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Toward Neural Network Simulation of Variational Quantum Algorithms
Oliver Knitter · James Stokes · Shravan Veerapaneni
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Poster
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Thu 14:00
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Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Yunbum Kook · Yin-Tat Lee · Ruoqi Shen · Santosh Vempala
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