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Krishnakumar Balasubramanian

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Multivariate Gaussian Approximation for Random Forest via Region-based Stabilization

Mar 15, 2024
Zhaoyang Shi, Chinmoy Bhattacharjee, Krishnakumar Balasubramanian, Wolfgang Polonik

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Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps

Feb 22, 2024
Zhaoyang Shi, Krishnakumar Balasubramanian, Wolfgang Polonik

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Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression

Oct 31, 2023
Zhaoyang Shi, Krishnakumar Balasubramanian, Wolfgang Polonik

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From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression

Oct 02, 2023
Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla

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Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms

Sep 25, 2023
Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma

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Online covariance estimation for stochastic gradient descent under Markovian sampling

Aug 03, 2023
Abhishek Roy, Krishnakumar Balasubramanian

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Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning

Jul 11, 2023
Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

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Gaussian random field approximation via Stein's method with applications to wide random neural networks

Jun 28, 2023
Krishnakumar Balasubramanian, Larry Goldstein, Nathan Ross, Adil Salim

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Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions

Jun 21, 2023
Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian

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Towards Understanding the Dynamics of Gaussian--Stein Variational Gradient Descent

May 23, 2023
Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh Pillai

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