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Poster
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Thu 9:00
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Single Model Uncertainty Estimation via Stochastic Data Centering
Jayaraman Thiagarajan · Rushil Anirudh · Vivek Sivaraman Narayanaswamy · Timo Bremer
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Poster
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Optimizing Data Collection for Machine Learning
Rafid Mahmood · James Lucas · Jose M. Alvarez · Sanja Fidler · Marc Law
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Poster
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Wed 14:00
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Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min · Tianhao Wang · Ruitu Xu · Zhaoran Wang · Michael Jordan · Zhuoran Yang
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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Poster
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Tue 9:00
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Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff
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Workshop
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Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang · Sen Na · Mladen Kolar
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Workshop
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Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity
Yuchen Fang · Sen Na · Mladen Kolar
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Poster
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Thu 9:00
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IMED-RL: Regret optimal learning of ergodic Markov decision processes
Fabien Pesquerel · Odalric-Ambrym Maillard
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