Aaditya Kumar Ramdas
Affiliations: | University of California, Berkeley, Berkeley, CA, United States |
Area:
statistics, machine learningGoogle:
"Aaditya Ramdas"Parents
Sign in to add mentorAarti Singh | grad student | 2010-2015 | Carnegie Mellon |
Larry Wasserman | grad student | 2010-2015 | Carnegie Mellon |
Michael I. Jordan | post-doc | 2015-2018 | UC Berkeley |
Martin Wainwright | post-doc | 2015-2018 | UC Berkeley (Neurotree) |
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Publications
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Wasserman L, Ramdas A, Balakrishnan S. (2020) Universal inference. Proceedings of the National Academy of Sciences of the United States of America |
Rabinovich M, Ramdas A, Jordan MI, et al. (2020) Optimal Rates and Tradeoffs in Multiple Testing Statistica Sinica |
Rabinovich M, Ramdas A, Jordan MI, et al. (2020) Function-Specific Mixing Times and Concentration Away from Equilibrium Bayesian Analysis. 15: 505-532 |
Howard SR, Ramdas A, McAuliffe J, et al. (2020) Time-uniform Chernoff bounds via nonnegative supermartingales Probability Surveys. 17: 257-317 |
Ramdas AK, Barber RF, Wainwright MJ, et al. (2019) A unified treatment of multiple testing with prior knowledge using the p-filter The Annals of Statistics. 47: 2790-2821 |
El Alaoui A, Ramdas A, Krzakala F, et al. (2019) Decoding From Pooled Data: Phase Transitions of Message Passing Ieee Transactions On Information Theory. 65: 572-585 |
Ramdas A, Chen J, Wainwright MJ, et al. (2019) A sequential algorithm for false discovery rate control on directed acyclic graphs Biometrika. 106: 69-86 |
Dwivedi R, Feldheim ON, Gurel-Gurevich O, et al. (2019) The power of online thinning in reducing discrepancy Probability Theory and Related Fields. 174: 103-131 |
Mania H, Ramdas A, Wainwright MJ, et al. (2018) On kernel methods for covariates that are rankings Electronic Journal of Statistics. 12: 2537-2577 |
Ma A, Needell D, Ramdas A. (2018) Iterative Methods for Solving Factorized Linear Systems Siam Journal On Matrix Analysis and Applications. 39: 104-122 |