( en | de | ru )

 

Disambiguation of "Balasubramanian, Krishnakumar"

Author of the publication

copydeleteadd this publication to your clipboard
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method.

, , and . NeurIPS, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Krishnakumar Balasubramanian

Krishnakumar Panday

Jayalakshmi Krishnakumar

Padmanabhan Balasubramanian

Balasubramanian Ramani

 

Other publications of authors with the same name

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels., , and . J. Mach. Learn. Res., (2010)A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization., , and . NeurIPS, (2022)Model-driven engineering of component-based distributed, real-time and embedded systems.. Vanderbilt University, Nashville, Tennessee, USA, (2007)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/14217).Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates., , and . SIAM J. Optim., 32 (2): 519-544 (2022)Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT., , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 115-137. PMLR, (2019)On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method., , and . NeurIPS, (2020)Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 65-102. PMLR, (2022)An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias., , , and . NeurIPS, page 4234-4248. (2021)A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization., , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2324-2334. PMLR, (2023)Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3545-3555. PMLR, (2020)