
Nearoptimal inference in adaptive linear regression
When data is collected in an adaptive manner, even simple methods like o...
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Instanceoptimality in optimal value estimation: Adaptivity via variancereduced Qlearning
Various algorithms in reinforcement learning exhibit dramatic variabilit...
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Instability, Computational Efficiency and Statistical Accuracy
Many statistical estimators are defined as the fixed point of a datadep...
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Is Temporal Difference Learning Optimal? An InstanceDependent Analysis
We address the problem of policy evaluation in discounted Markov decisio...
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Challenges with EM in application to weakly identifiable mixture models
We study a class of weakly identifiable locationscale mixture models fo...
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DerivativeFree Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
We study derivativefree methods for policy optimization over the class ...
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Singularity, Misspecification, and the Convergence Rate of EM
A line of recent work has characterized the behavior of the EM algorithm...
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Convergence guarantees for a class of nonconvex and nonsmooth optimization problems
We consider the problem of finding critical points of functions that are...
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Computation of the Maximum Likelihood estimator in lowrank Factor Analysis
Factor analysis, a classical multivariate statistical technique is popul...
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Koulik Khamaru
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