Aaditya Ramdas
Aaditya Ramdas
Statistics and Machine Learning, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests
A Ramdas, N Garcia, M Cuturi
Entropy, Special Issue on Statistical Significance and the Logic of …, 2017
Conformal prediction under covariate shift
RJ Tibshirani, RF Barber, EJ Candès, A Ramdas
Advances in Neural Information Processing Systems 32, 2019
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell
PLOS One, 2014
Predictive inference with the jackknife+
RF Barber, EJ Candes, A Ramdas, RJ Tibshirani
The Annals of Statistics, 2021
Time-uniform, nonparametric, nonasymptotic confidence sequences
SR Howard, A Ramdas, J McAuliffe, J Sekhon
The Annals of Statistics, 2021
The limits of distribution-free conditional predictive inference
RF Barber, EJ Candès, A Ramdas, RJ Tibshirani
Information and Inference: A Journal of the IMA, 2020
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ...
International Conference on Learning Representations (ICLR), 2017, 2016
Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods
A Ma, D Needell, A Ramdas
SIAM Journal on Matrix Analysis and Applications, 2015
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions
A Ramdas, S Jakkam Reddi, B Póczos, A Singh, L Wasserman
29th AAAI Conference on Artificial Intelligence, 2015
Conformal prediction beyond exchangeability
RF Barber, EJ Candes, A Ramdas, RJ Tibshirani
The Annals of Statistics 51 (2), 816-845, 2023
Fast Two-Sample Testing with Analytic Representations of Probability Measures
K Chwialkowski, A Ramdas, D Sejdinovic, A Gretton
29th Conference on Neural Information Processing Systems, 2015
Universal Inference
L Wasserman, A Ramdas, S Balakrishnan
Proceedings of the National Academy of Sciences, 2020
Algorithms for graph similarity and subgraph matching
D Koutra, A Parikh, A Ramdas, J Xiang
Technical report, Carnegie Mellon University, 2011
Fast and flexible ADMM algorithms for trend filtering
A Ramdas, RJ Tibshirani
Journal of Computational and Graphical Statistics, 2014
Estimating means of bounded random variables by betting
I Waudby-Smith, A Ramdas
Journal of the Royal Statistical Society, Series B (Methodology), with …, 2022
Time-uniform Chernoff bounds via nonnegative supermartingales
SR Howard, A Ramdas, J McAuliffe, J Sekhon
Probability Surveys, 2020
Asymptotic behavior of -based Laplacian regularization in semi-supervised learning
A El Alaoui, X Cheng, A Ramdas, MJ Wainwright, MI Jordan
29th Annual Conference on Learning Theory, 879-906, 2016
A unified treatment of multiple testing with prior knowledge using the p-filter
A Ramdas, RF Barber, MJ Wainwright, MI Jordan
The Annals of Statistics, 2019
Nested conformal prediction and quantile out-of-bag ensemble methods
C Gupta, AK Kuchibhotla, AK Ramdas
Pattern Recognition, Special Issue on Conformal Prediction and Applications, 2021
Admissible anytime-valid sequential inference must rely on nonnegative martingales
A Ramdas, J Ruf, M Larsson, W Koolen
arXiv preprint arXiv:2009.03167, 2020
The system can't perform the operation now. Try again later.
Articles 1–20