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cs.LG2022★ 1 cited
Targeted active learning for probabilistic models
Christopher Tosh, Mauricio Tec, Wesley Tansey
A fundamental task in science is to design experiments that yield valuable insights about the system under study. Mathematically, these insights can be represented as a utility or…
stat.ME2022★ 3 cited
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
Mauricio Tec, Yunshan Duan, Peter Müller
Reinforcement Learning (RL) is a computational approach to reward-driven learning in sequential decision problems. It implements the discovery of optimal actions by learning from a…