Poster

Optimizing Data Collection for Machine Learning
Rafid Mahmood · James Lucas · Jose M. Alvarez · Sanja Fidler · Marc Law

Poster

Thu 9:00

Single Model Uncertainty Estimation via Stochastic Data Centering
Jayaraman Thiagarajan · Rushil Anirudh · Vivek Sivaraman Narayanaswamy · Timo Bremer

Poster

Wed 14:00

Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min · Tianhao Wang · Ruitu Xu · Zhaoran Wang · Michael Jordan · Zhuoran Yang

Poster

Tue 9:00

Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson

Workshop

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang · Sen Na · Mladen Kolar

Poster

Tue 9:00

Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff

Workshop

Poster

Thu 9:00

IMED-RL: Regret optimal learning of ergodic Markov decision processes
Fabien Pesquerel · Odalric-Ambrym Maillard