72 citations · 148 across the 100 of their papers we have counts for
22 papers · 1 filter
Conformal Prediction Through the Lens of Hypothesis Testing: Universality, Impossibility, and Optimality
Ryan J. Tibshirani, Rina Foygel Barber, Aaditya Ramdas
The connections between conformal prediction and permutation tests are already widely-known in the literature. Some authors motivate conformal prediction by saying that it computes…
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…
Universality of e-detectors for ARL control
Aaditya Ramdas
An e-detector for a pre-change class is a nonnegative process such that for all stopping times and all $P \in \mathcal P…
Non-partitioned e-detectors for nonparametric sequential change detection
Aytijhya Saha, Aaditya Ramdas
We study the problem of sequential change detection over a general class of probability distributions (), where both the pre-change and post-change distributions are un…
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…
Gaffke's confidence interval for the mean of bounded data is inadmissible but asymptotically efficient
Jiahao Ming, Aaditya Ramdas, Yi Shen +2
Given observations , Gaffke (2005) defined \[ K_n(\mathbf x)=\mathbb{P}_{\mathbf D}\!\left\{\sum_{i=1}^n x_iD_i\le 1\right\}, \qquad (D_0,D_1,\ldots,D_n)…