ankit pensia | ‪Ankit Pensia‬

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ankit pensia*******Ankit Pensia is a computer scientist who works on robust statistics, inference under constraints, and theoretical machine learning. He has published several papers on these topics and is a Herman Goldstine .Ankit Pensia. IBM Research. Verified email at ibm.com - Homepage. high-dimensional statistics robust statistics theoretical machine learning. Articles Cited by Public access .Ankit Pensia, Researcher. Home. Papers. Misc. Publications (Google Scholar, dblp, Semantic Scholar) A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation .

‪Ankit Pensia‬ Ankit Pensia. Ankit is broadly interested in learning theory and statistics. In particular, he enjoys thinking about robust statistics and related notions of stability of algorithms. Earlier, he was a Herman Goldstine Postdoctoral .

Statistical Laboratory Centre for Mathematical Sciences Wilberforce Road Cambridge CB3 0WB [email protected] Robust Mean Estimation with Subgaussian Rates via Stability† NeurIPS’20 I. Diakonikolas, D. M. Kane, and A. Pensia Advances in Neural Information Processing . Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. Ilias Diakonikolas, Daniel M. Kane, Jasper C.H. Lee, Ankit Pensia. We study the .Ankit Pensia is a Graduate Student in the Department of Computer Science at University of Wisconsin-Madison, where he is advised by Po-Ling Loh and Varun Jog. His research .Faculty of Mathematics, Wilberforce Road, Cambridge CB3 0WA, Contact us Privacy policy @FacultyMaths. Forthcoming SeminarsAnkit Pensia is a Graduate Student in the Department of Computer Science at University of Wisconsin-Madison, where he is advised by Po-Ling Loh and Varun Jog. His research .

Outlier Robust Mean Estimation with Subgaussian Rates via Stability. Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia. We study the problem of outlier robust high-dimensional mean estimation under a finite covariance assumption, and more broadly under finite low-degree moment assumptions. We consider a standard stability condition from .Outlier Robust Mean Estimation with Subgaussian Rates via Stability† NeurIPS’20 I. Diakonikolas, D. M. Kane, and A. Pensia Advances in Neural Information Processing Systems, 2020.no code implementations • NeurIPS 2023 • Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas We study the fundamental problems of Gaussian mean estimation and linear regression with Gaussian covariates in the presence of Huber contamination. Ankit Pensia Varun Jog Po-Ling Loh. a export BibTeX citation Loading. BibTeX formatted citationAnkit Pensia : U Wisconsin, Madison (2023) Theory of Machine Learning : Current Fellow, IBM Research 2022: Ryan Cory-Wright : Mass. Inst. of Tech. (2022) Operations Research & Optimization : Assistant Professor, Analytics and Operations Group, Imperial College Business School .Ankit Pensia is a Graduate Student in the Department of Computer Science at University of Wisconsin-Madison, where he is advised by Po-Ling Loh and Varun Jog. His research focuses on learning theory. He is particularly interested .Ankit Pensia is a Graduate Student in the Department of Computer Science at University of Wisconsin-Madison, where he is advised by Po-Ling Loh and Varun Jog. His research focuses on learning theory. He is particularly interested .

Ankit Pensia, Varun Jog, and Po-Ling LohAbstract—We propose a novel strategy for extracting features in supervised learning that can be used to construct a classifier which is more robust t. small perturbations in the input space. Our method builds upon the idea of the information bottleneck, by introducing an additional penalty term that .ankit pensia ‪Ankit Pensia‬ Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. Ilias Diakonikolas, Daniel M. Kane, Jasper C.H. Lee, Ankit Pensia. We study the fundamental task of outlier-robust mean estimation for heavy-tailed distributions in the presence of sparsity. Specifically, given a small number of corrupted samples from a high .

View a PDF of the paper titled A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation, by Ankit Pensia. View PDF HTML (experimental) Abstract: We study the algorithmic problem of sparse mean estimation in the presence of adversarial outliers. Specifically, the algorithm observes a \emph{corrupted} set of samples from . Robust regression with covariate filtering: Heavy tails and adversarial contamination. Ankit Pensia, Varun Jog, Po-Ling Loh. We study the problem of linear regression where both covariates and responses are potentially (i) heavy-tailed and (ii) adversarially contaminated. Several computationally efficient estimators have been .Ankit Pensia, Amir Reza Asadi, Varun Jog, Po-Ling Loh. Proceedings of Thirty Sixth Conference on Learning Theory, PMLR 195:3229-3230, 2023. Abstract. We study simple binary hypothesis testing under local differential privacy (LDP) and communication constraints. Our results are either minimax optimal or instance optimal: the former hold .

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ankit pensia|‪Ankit Pensia‬