Shubhanshu Shekhar

Cited by

	All	Since 2019
Citations	463	452
h-index	12	12
i10-index	14	14

160

120

20182019202020212022202320248 13 37 70 103 146 81

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Tara JavidiProfessor of Electrical and Computer Engineering, UCSDVerified email at eng.ucsd.edu
Mohammad GhavamzadehAmazonVerified email at amazon.com
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Farinaz KoushanfarProfessor and Henry Booker Faculty Scholar of ECE, UC San DiegoVerified email at ucsd.edu
Anusha LalithaAmazon AWS AI LabsVerified email at amazon.com
Ilmun KimYonsei UniversityVerified email at yonsei.ac.kr
Sebastien RochProfessor of Mathematics, UW MadisonVerified email at math.wisc.edu
Siavash MirarabUniversity of California at San DiegoVerified email at ucsd.edu
Matteo PirottaResearch Scientist, Meta (FAIR)Verified email at fb.com
Jean TarbouriechGoogle DeepMindVerified email at google.com
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchVerified email at inria.fr
Mohammad Javad KhojastehUCSDVerified email at ucsd.edu
Chuchu FanWilson Assistant Professor of Aeronautics and Astronautics at MITVerified email at mit.edu
Dawei SunUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Ziyu XuCarnegie Mellon UniversityVerified email at cs.cmu.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Pierre Jinghong LiangProfessor of Accounting, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Patrick ForréAssistant Professor Machine Learning, AI4Science Lab Manager, University of AmsterdamVerified email at uva.nl
Teodora PandevaUniversity of AmsterdamVerified email at uva.nl

Shubhanshu Shekhar

CMU

Verified email at andrew.cmu.edu - Homepage

Machine Learning Sequential Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fully decentralized federated learning A Lalitha, S Shekhar, T Javidi, F Koushanfar Third workshop on bayesian deep learning (NeurIPS) 2, 2018	159	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	36	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	33	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	24	2020
On the near-optimality of betting confidence sets for bounded means S Shekhar, A Ramdas arXiv preprint arXiv:2310.01547, 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	19	2021
Nonparametric two-sample testing by betting S Shekhar, A Ramdas IEEE Transactions on Information Theory, 2023	16*	2023
Significance of gradient information in bayesian optimization S Shekhar, T Javidi International Conference on Artificial Intelligence and Statistics, 2836-2844, 2021	16	2021
Multi-scale zero-order optimization of smooth functions in an RKHS S Shekhar, T Javidi arXiv preprint arXiv:2005.04832, 2020	15	2020
A permutation-free kernel two-sample test S Shekhar, I Kim, A Ramdas Advances in Neural Information Processing Systems 35, 18168-18180, 2022	14	2022
Multiscale gaussian process level set estimation S Shekhar, T Javidi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	14	2019
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	11	2021
Binary classification with bounded abstention rate S Shekhar, M Ghavamzadeh, T Javidi arXiv preprint arXiv:1905.09561, 2019	11	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	5	2023
Active learning for binary classification with abstention S Shekhar, M Ghavamzadeh, T Javidi arXiv preprint arXiv:1906.00303, 2019	5	2019
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	4	2022
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

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors