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 | 201* | 2017 |
Contextual stochastic block models Y Deshpande, S Sen, A Montanari, E Mossel Advances in Neural Information Processing Systems 31, 2018 | 170 | 2018 |
Information-theoretically optimal sparse PCA Y Deshpande, A Montanari 2014 IEEE International Symposium on Information Theory, 2197-2201, 2014 | 158 | 2014 |
Finding Hidden Cliques of Size in Nearly Linear Time Y Deshpande, A Montanari Foundations of Computational Mathematics 15, 1069-1128, 2015 | 151 | 2015 |
Sparse PCA via covariance thresholding Y Deshp, A Montanari Journal of Machine Learning Research 17 (141), 1-41, 2016 | 130 | 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 | 96 | 2015 |
Linear bandits in high dimension and recommendation systems Y Deshpande, A Montanari 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012 | 80 | 2012 |
Accurate inference for adaptive linear models Y Deshpande, L Mackey, V Syrgkanis, M Taddy International Conference on Machine Learning, 1194-1203, 2018 | 78 | 2018 |
Cone-constrained principal component analysis Y Deshpande, A Montanari, E Richard Advances in Neural Information Processing Systems 27, 2014 | 43 | 2014 |
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 | 38* | 2021 |
Inference in graphical models via semidefinite programming hierarchies MA Erdogdu, Y Deshpande, A Montanari Advances in Neural Information Processing Systems 30, 2017 | 30 | 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 | 26 | 2019 |
Near-optimal inference in adaptive linear regression K Khamaru, Y Deshpande, L Mackey, MJ Wainwright arXiv preprint arXiv:2107.02266, 2021 | 21 | 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 | | 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 | | |