13 citations · 23 across the 4 of their papers we have counts for
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stat.ML2022
Evaluating High-Order Predictive Distributions in Deep Learning
Ian Osband, Zheng Wen, Seyed Mohammad Asghari +3
Most work on supervised learning research has focused on marginal predictions. In decision problems, joint predictive distributions are essential for good performance. Previous wor…
stat.ML2019★ 13 cited
Information-Theoretic Confidence Bounds for Reinforcement Learning
Xiuyuan Lu, Benjamin Van Roy
We integrate information-theoretic concepts into the design and analysis of optimistic algorithms and Thompson sampling. By making a connection between information-theoretic quanti…