Shubhanshu Shekhar 个人学术档案

引用次数

	总计	2019 年至今
引用	496	484
h 指数	12	12
i10 指数	14	14

160

120

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Tara JavidiProfessor of Electrical and Computer Engineering, UCSD在 eng.ucsd.edu 的电子邮件经过验证
Mohammad GhavamzadehAmazon在 amazon.com 的电子邮件经过验证
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
Farinaz KoushanfarProfessor and Henry Booker Faculty Scholar of ECE, UC San Diego在 ucsd.edu 的电子邮件经过验证
Anusha LalithaAmazon AWS AI Labs在 amazon.com 的电子邮件经过验证
Ilmun KimYonsei University在 yonsei.ac.kr 的电子邮件经过验证
Sebastien RochProfessor of Mathematics, UW Madison在 math.wisc.edu 的电子邮件经过验证
Siavash MirarabUniversity of California at San Diego在 ucsd.edu 的电子邮件经过验证
Matteo PirottaResearch Scientist, Meta (FAIR)在 fb.com 的电子邮件经过验证
Jean TarbouriechGoogle DeepMind在 google.com 的电子邮件经过验证
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence Research在 inria.fr 的电子邮件经过验证
Mohammad Javad KhojastehUCSD在 ucsd.edu 的电子邮件经过验证
Chuchu FanWilson Assistant Professor of Aeronautics and Astronautics at MIT在 mit.edu 的电子邮件经过验证
Dawei SunUniversity of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Ziyu XuCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge在 cmu.edu 的电子邮件经过验证
Pierre Jinghong LiangProfessor of Accounting, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Patrick ForréAssistant Professor Machine Learning, AI4Science Lab Manager, University of Amsterdam在 uva.nl 的电子邮件经过验证
Teodora PandevaUniversity of Amsterdam在 uva.nl 的电子邮件经过验证

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Shubhanshu Shekhar

CMU

在 umich.edu 的电子邮件经过验证 - 首页

Machine Learning Sequential Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Fully decentralized federated learning A Lalitha, S Shekhar, T Javidi, F Koushanfar Third workshop on bayesian deep learning (NeurIPS) 2, 2018	173	2018
Gaussian process bandits with adaptive discretization S Shekhar, T Javidi	45	2018
Adaptive sampling for minimax fair classification S Shekhar, G Fields, M Ghavamzadeh, T Javidi Advances in Neural Information Processing Systems 34, 24535-24544, 2021	38	2021
Species tree estimation using ASTRAL: how many genes are enough? S Shekhar, S Roch, S Mirarab IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2017	35	2017
Active model estimation in markov decision processes J Tarbouriech, S Shekhar, M Pirotta, M Ghavamzadeh, A Lazaric Conference on Uncertainty in Artificial Intelligence, 1019-1028, 2020	27	2020
Nonparametric two-sample testing by betting S Shekhar, A Ramdas IEEE Transactions on Information Theory, 2023	22*	2023
Active learning for classification with abstention S Shekhar, M Ghavamzadeh, T Javidi IEEE Journal on Selected Areas in Information Theory 2 (2), 705-719, 2021	22	2021
On the near-optimality of betting confidence sets for bounded means S Shekhar, A Ramdas arXiv preprint arXiv:2310.01547, 2023	18	2023
A permutation-free kernel two-sample test S Shekhar, I Kim, A Ramdas Advances in Neural Information Processing Systems 35, 18168-18180, 2022	18	2022
Significance of gradient information in bayesian optimization S Shekhar, T Javidi International Conference on Artificial Intelligence and Statistics, 2836-2844, 2021	17	2021
Multiscale gaussian process level set estimation S Shekhar, T Javidi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	14	2019
Multi-scale zero-order optimization of smooth functions in an RKHS S Shekhar, T Javidi arXiv preprint arXiv:2005.04832, 2020	13	2020
Uncertain-aware safe exploratory planning using Gaussian process and neural control contraction metric D Sun, MJ Khojasteh, S Shekhar, C Fan Learning for Dynamics and Control, 728-741, 2021	12	2021
Binary classification with bounded abstention rate S Shekhar, M Ghavamzadeh, T Javidi arXiv preprint arXiv:1905.09561, 2019	10	2019
Adaptive sampling for estimating probability distributions S Shekhar, T Javidi, M Ghavamzadeh International Conference on Machine Learning, 8687-8696, 2020	8	2020
A permutation-free kernel independence test S Shekhar, I Kim, A Ramdas Journal of Machine Learning Research 24 (369), 1-68, 2023	6	2023
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS M Lee, S Shekhar, T Javidi 2022 IEEE International Symposium on Information Theory (ISIT), 288-293, 2022	6	2022
Active learning for binary classification with abstention S Shekhar, M Ghavamzadeh, T Javidi arXiv preprint arXiv:1906.00303, 2019	6	2019
Sequential change detection via backward confidence sequences S Shekhar, A Ramdas arXiv preprint arXiv:2302.02544, 2023	3	2023
Risk-limiting financial audits via weighted sampling without replacement S Shekhar, Z Xu, Z Lipton, P Liang, A Ramdas Uncertainty in Artificial Intelligence, 1932-1941, 2023	2	2023

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