Universal Inference

24 December 2019

Papers citing "Universal Inference"

23 / 23 papers shown

Title
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales Drew Prinster Xing Han Anqi Liu S. Saria 35 0 0 07 May 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 33 4 0 19 Jul 2024
From Conformal Predictions to Confidence Regions Charles Guille-Escuret Eugene Ndiaye 43 1 0 28 May 2024
Combining exchangeable p-values Matteo Gasparin Ruodu Wang Aaditya Ramdas 53 5 0 04 Apr 2024
Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors Charles Guille-Escuret Eugene Ndiaye 19 1 0 27 Jan 2024
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances David Strieder Mathias Drton CML 14 5 0 08 Sep 2023
Discussion of "A note on universal inference" by Timmy Tse and Anthony Davison Mathias Drton Hongjian Shi David Strieder 10 2 0 30 Mar 2023
Testing mean and variance by e-processes Yixuan Fan Zhanyi Jiao Ruodu Wang 27 2 0 29 Jan 2023
A Sequential Test for Log-Concavity Aditya Gangrade Alessandro Rinaldo Aaditya Ramdas 33 12 0 09 Jan 2023
NetEffect: Discovery and Exploitation of Generalized Network Effects Meng-Chieh Lee Shubhranshu Shekhar Jaemin Yoo Christos Faloutsos 24 1 0 31 Dec 2022
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations Aurélien F. Bibaut Nathan Kallus Michael Lindon 22 9 0 29 Dec 2022
Game-theoretic statistics and safe anytime-valid inference Aaditya Ramdas Peter Grünwald V. Vovk Glenn Shafer 40 118 0 04 Oct 2022
E-values as unnormalized weights in multiple testing Nikolaos Ignatiadis Ruodu Wang Aaditya Ramdas 33 23 0 26 Apr 2022
Post-selection inference for e-value based confidence intervals Ziyu Xu Ruodu Wang Aaditya Ramdas 23 16 0 23 Mar 2022
On the choice of the splitting ratio for the split likelihood ratio test David Strieder Mathias Drton 29 11 0 13 Mar 2022
An imprecise-probabilistic characterization of frequentist statistical inference Ryan Martin 22 56 0 20 Dec 2021
Confidence in Causal Discovery with Linear Causal Models David Strieder Tobias Freidling Stefan Haffner Mathias Drton CML 24 11 0 10 Jun 2021
Significance tests of feature relevance for a black-box learner Ben Dai Xiaotong Shen Wei Pan 24 25 0 02 Mar 2021
Testing exchangeability: fork-convexity, supermartingales, and e-processes Aaditya Ramdas Johannes Ruf Martin Larsson Wouter M. Koolen 67 64 0 01 Feb 2021
False discovery rate control with e-values Ruodu Wang Aaditya Ramdas 24 90 0 06 Sep 2020
A Note on Likelihood Ratio Tests for Models with Latent Variables Yunxiao Chen I. Moustaki Haoran Zhang CML 10 13 0 10 Aug 2020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 33 16 0 07 Aug 2020
Confidence sequences for sampling without replacement Ian Waudby-Smith Aaditya Ramdas 13 42 0 08 Jun 2020