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Vidya K. Muthukumar

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#machine learning Preprint Oct 2026

Linear Last-Iterate Convergence Rates for Optimistic Learning in Harmonic Games

We prove that the last iterate of Optimistic Follow-The-Regularized-Leader (OFTRL) converges at a linear rate to a Nash equilibrium in multiplayer harmonic games. Our result holds under a mild game-regularity condition and for a large family of regularizers, including entropy, Tsallis, and log-barrier. Our analysis is...

John Lazarsfeld, Anas Barakat, Jacob D. Abernethy et al. · 0 citations
#machine learning Preprint Sep 2026

Next-token functional estimation

A leave-a-window-out estimator is proposed, which deletes a window of length $\tau$ after each index before forming the empirical measure and reduces to leave-one-out at $\tau = 1$.

Milind Nakul, Vidya K. Muthukumar, A. Pananjady · 0 citations
#machine learning Review Sep 2021

A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

An overview of the theory of overparameterized ML is provided by focusing on explaining the most foundational findings through a statistical signal processing perspective and emphasizing the unique aspects that define the TOPML research area as a subfield of modern ML theory and outline interesting open frontiers that...

Yehuda Dar, Vidya K. Muthukumar, Richard Baraniuk · 83 citations · ⚡4

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