Aaditya Ramdas
32 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-0497-311X
Department of Statistics and Data Science, Carnegie Mellon University , Pittsburgh, PA , USA
Publications
- Combining evidence across filtrations — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
- Data Fission: Splitting a Single Data Point — Journal of the American Statistical Association 2025
- Sequential Monte Carlo testing by betting — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- The numeraire e-variable and reverse information projection — The Annals of Statistics 2025
- Rejoinder — Journal of the American Statistical Association 2025
- Saha and Ramdas’ Discussion of “Poisson-FOCuS” by Ward, Dilillo, Eckley & Fearnhead — Journal of the American Statistical Association 2025
- On the existence of powerful p-values and e-values for composite hypotheses — The Annals of Statistics 2024
- Comparing Sequential Forecasters — Operations Research 2024
- Martin Larsson, Aaditya Ramdas, and Johannes Ruf’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’ — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- E-values as unnormalized weights in multiple testing — Biometrika 2024
- Estimating means of bounded random variables by betting — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Time-uniform central limit theory and asymptotic confidence sequences — The Annals of Statistics 2024
- A Permutation-Free Kernel Independence Test — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Distribution-Free Prediction Sets for Two-Layer Hierarchical Models — Journal of the American Statistical Association 2023
- Gaussian universal likelihood ratio testing — Biometrika 2023
- Conformal prediction beyond exchangeability — The Annals of Statistics 2023
- A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- False discovery rate control with e-values — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Fast and powerful conditional randomization testing via distillation — Biometrika 2022
- Time-uniform, nonparametric, nonasymptotic confidence sequences — The Annals of Statistics 2021 (name-matched, not ORCID-linked)
- Classification accuracy as a proxy for two-sample testing — The Annals of Statistics 2021
- Predictive inference with the jackknife+ — The Annals of Statistics 2021
- Path Length Bounds for Gradient Descent and Flow — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- Asynchronous Online Testing of Multiple Hypotheses — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- A general interactive framework for false discovery rate control under structural constraints — Biometrika 2021
- Simultaneous high-probability bounds on the false discovery proportion in structured, regression and online settings — The Annals of Statistics 2020 (name-matched, not ORCID-linked)
- A sequential algorithm for false discovery rate control on directed acyclic graphs — Biometrika 2019
- A unified treatment of multiple testing with prior knowledge using the p-filter — The Annals of Statistics 2019
- Thep-filter: multilayer false discovery rate control for grouped hypotheses — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
- Regularized brain reading with shrinkage and smoothing — The Annals of Applied Statistics 2015
- Post-detection inference for sequential changepoint localization — Journal of the Royal Statistical Society: Series B (Statistical Methodology)