From the 1 of 103 linked papers with an AI index.
39 papers · 1 filter
Gaussian-efficient testing by betting on the mean of bounded data
Diego Martinez-Taboada, Aaditya Ramdas
Given -valued random variables such that for all , we propose a new nonasymptotic confidence interval for tha…
Non-partitioned e-detectors for nonparametric sequential change detection
Aytijhya Saha, Aaditya Ramdas
The paper proposes non‑partitioned e‑detectors for sequential change detection when both pre‑ and post‑change distributions are unknown, using aggregated e‑processes and showing as…
Monte Carlo testing: non-asymptotic guarantees without joint exchangeability
Rina Foygel Barber, Aaditya Ramdas
In hypothesis testing, Monte Carlo tests are usually justified either by exact null simulation or by joint exchangeability of the observed data and its simulated copies. This leave…
Improving online FDR procedures via online analogs of e-closure and compound e-values
Ziyu Xu, Lasse Fischer, Aaditya Ramdas
In many scientific applications, hypotheses are generated and tested continuously in a stream. We develop a framework for improving online multiple testing procedures with false di…
M-estimation with e-statistics
Hongjian Wang, Aaditya Ramdas
We present a theory of point estimation with e-statistics (e-values and e-processes) by introducing the "ME-estimator": the parameter that minimizes the corresponding e-statistic,…
Distribution-free root cause analysis
Rohan Hore, Aaditya Ramdas
We study distribution-free root cause analysis in multi-stream data, where an evolving underlying system is observed through multiple data streams that may each undergo distributio…