8 citations · 40 across the 15 of their papers we have counts for
9 papers · 1 filter
Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas, Peter Grünwald, Vladimir Vovk +1
Safe anytime-valid inference (SAVI) provides measures of statistical evidence and certainty -- e-processes for testing and confidence sequences for estimation -- that remain valid…
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas +1
There is a disconnect between how researchers and practitioners handle privacy-utility tradeoffs. Researchers primarily operate from a privacy first perspective, setting strict pri…
Permutation tests using arbitrary permutation distributions
Aaditya Ramdas, Rina Foygel Barber, Emmanuel J. Candes +1
Permutation tests date back nearly a century to Fisher's randomized experiments, and remain an immensely popular statistical tool, used for testing hypotheses of independence betwe…
Faster online calibration without randomization: interval forecasts and the power of two choices
Chirag Gupta, Aaditya Ramdas
We study the problem of making calibrated probabilistic forecasts for a binary sequence generated by an adversarial nature. Following the seminal paper of Foster and Vohra (1998),…
E-values as unnormalized weights in multiple testing
Nikolaos Ignatiadis, Ruodu Wang, Aaditya Ramdas
We study how to combine p-values and e-values, and design multiple testing procedures where both p-values and e-values are available for every hypothesis. Our results provide a new…
Post-selection inference for e-value based confidence intervals
Ziyu Xu, Ruodu Wang, Aaditya Ramdas
Suppose that one can construct a valid -confidence interval (CI) for each of parameters of potential interest. If a data analyst uses an arbitrary data-dependent criteri…