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stat.ML2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
Philip Amortila, Tongyi Cao, Akshay Krishnamurthy
A pervasive phenomenon in machine learning applications is distribution shift, where training and deployment conditions for a machine learning model differ. As distribution shift t…
stat.ML2014★ 27 cited
On the Power of Adaptivity in Matrix Completion and Approximation
Akshay Krishnamurthy, Aarti Singh
We consider the related tasks of matrix completion and matrix approximation from missing data and propose adaptive sampling procedures for both problems. We show that adaptive samp…