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stat.ML2023★ 1 cited
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna +1
In this paper, we study the problem of optimal data collection for policy evaluation in linear bandits. In policy evaluation, we are given a target policy and asked to estimate the…
stat.ML2021
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee +3
The level set estimation problem seeks to find all points in a domain where the value of an unknown function exceeds a threshold .…
stat.ML2020
Chernoff Sampling for Active Testing and Extension to Active Regression
Subhojyoti Mukherjee, Ardhendu Tripathy, Robert Nowak
Active learning can reduce the number of samples needed to perform a hypothesis test and to estimate the parameters of a model. In this paper, we revisit the work of Chernoff that…