Yash Deshpande

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Andrea MontanariJohn D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
Emmanuel AbbeProfessor EPFL, Senior Research Scientist AppleVerified email at epfl.ch
Elchanan MosselProfessor of Mathematics, MITVerified email at mit.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Adel JavanmardProfessor, University of Southern CaliforniaVerified email at usc.edu
Mohammad MehrabiGraduate School of Business, Stanford UniversityVerified email at stanford.edu
Emile RichardAmazonVerified email at amazon.com
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Bikash DeyProfessor of Electrical Engineering, IIT BombayVerified email at ee.iitb.ac.in
Murat A. ErdogduUniversity of TorontoVerified email at stanford.edu
Ryan O'DonnellProfessor, Computer Science Department, Carnegie MellonVerified email at cs.cmu.edu
Tselil SchrammStanford UniversityVerified email at stanford.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.Verified email at berkeley.edu
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyVerified email at mit.edu
Tor LattimoreDeepMindVerified email at google.com
Sachin PatkarProfessor, Dept. EE, IIT BombayVerified email at ee.iitb.ac.in
Alberto AbadieProfessor of Economics, MITVerified email at mit.edu
Ben DeanerVerified email at ucl.ac.uk
Youngtak SohnAssistant Professor, Brown UniversityVerified email at brown.edu
Matt TaddyAmazon

Yash Deshpande

Member of Research Staff, Voleon

Verified email at voleon.com - Homepage

statistics machine learning probability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Asymptotic mutual information for the balanced binary stochastic block model Y Deshpande, E Abbe, A Montanari Information and Inference: A Journal of the IMA 6 (2), 125-170, 2017	208*	2017
Contextual stochastic block models Y Deshpande, S Sen, A Montanari, E Mossel Advances in Neural Information Processing Systems 31, 2018	187	2018
Information-theoretically optimal sparse PCA Y Deshpande, A Montanari 2014 IEEE International Symposium on Information Theory, 2197-2201, 2014	170	2014
Finding Hidden Cliques of Size in Nearly Linear Time Y Deshpande, A Montanari Foundations of Computational Mathematics 15, 1069-1128, 2015	152	2015
Sparse PCA via covariance thresholding Y Deshp, A Montanari Journal of Machine Learning Research 17 (141), 1-41, 2016	137	2016
Improved sum-of-squares lower bounds for hidden clique and hidden submatrix problems Y Deshpande, A Montanari Conference on Learning Theory, 523-562, 2015	99	2015
Accurate inference for adaptive linear models Y Deshpande, L Mackey, V Syrgkanis, M Taddy International Conference on Machine Learning, 1194-1203, 2018	82	2018
Linear bandits in high dimension and recommendation systems Y Deshpande, A Montanari 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012	81	2012
Online debiasing for adaptively collected high-dimensional data with applications to time series analysis Y Deshpande, A Javanmard, M Mehrabi Journal of the American Statistical Association, 1-14, 2021	43*	2021
Cone-constrained principal component analysis Y Deshpande, A Montanari, E Richard Advances in Neural Information Processing Systems 27, 2014	43	2014
Inference in graphical models via semidefinite programming hierarchies MA Erdogdu, Y Deshpande, A Montanari Advances in Neural Information Processing Systems 30, 2017	31	2017
The threshold for SDP-refutation of random regular NAE-3SAT Y Deshpande, A Montanari, R O'Donnell, T Schramm, S Sen Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019	27	2019
Near-optimal inference in adaptive linear regression K Khamaru, Y Deshpande, L Mackey, MJ Wainwright arXiv preprint arXiv:2107.02266, 2021	23	2021
On the sum capacity of multiaccess block-fading channels with individual side information Y Deshpande, SRB Pillai, BK Dey 2011 IEEE Information Theory Workshop, 588-592, 2011	14	2011
Pooled sample testing for SARS-CoV-2 P Bertolotti, B Deaner, Y Deshpande, D Hughes, A Abadie	2	2020
Double Precision Sparse Matrix Vector Multiplication Accelerator on FPGA. S Attarde, S Joshi, Y Deshpande, S Puranik, SB Patkar PECCS, 476-484, 2011	2	2011
Agreement and Statistical Efficiency in Bayesian Perception Models Y Deshpande, E Mossel, Y Sohn arXiv preprint arXiv:2205.11561, 2022	1	2022
Computational Limits in Statistical Estimation: Hidden Clique and Related Problems Y Deshpande Stanford University, 2016		2016
Power Controlled Adaptive Sum-Capacity of Fading MACs with Distributed CSI SRB Pillai, BK Dey, Y Deshpande, K Iyer arXiv preprint arXiv:1208.4777, 2012		2012
Supplement to “Cone-Constrained Principal Component Analysis” Y Deshpande, A Montanari, E Richard

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