Aaditya Kumar Ramdas

Affiliations: 
University of California, Berkeley, Berkeley, CA, United States 
Area:
statistics, machine learning
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"Aaditya Ramdas"

Parents

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Aarti 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
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