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Safe Testing

Safe Testing

18 June 2019
Peter Grünwald
R. D. Heide
Wouter M. Koolen
ArXivPDFHTML

Papers citing "Safe Testing"

50 / 92 papers shown
Title
Post-detection inference for sequential changepoint localization
Post-detection inference for sequential changepoint localization
Aytijhya Saha
Aaditya Ramdas
43
0
0
10 Feb 2025
Optimal e-value testing for properly constrained hypotheses
Optimal e-value testing for properly constrained hypotheses
Eugenio Clerico
38
2
0
30 Dec 2024
Growth-Optimal E-Variables and an extension to the multivariate
  Csiszár-Sanov-Chernoff Theorem
Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem
Peter Grunwald
Yunda Hao
Akshay Balsubramani
33
0
0
23 Dec 2024
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic
  Approximation
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
Chuhan Xie
Kaicheng Jin
Jiadong Liang
Zhihua Zhang
26
0
0
19 Oct 2024
SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and
  Test Inversion
SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and Test Inversion
Shenghao Qin
Jianliang He
Bowen Gang
Yin Xia
35
0
0
16 Oct 2024
Online-to-PAC generalization bounds under graph-mixing dependencies
Online-to-PAC generalization bounds under graph-mixing dependencies
Baptiste Abeles
Eugenio Clerico
Gergely Neu
26
0
0
11 Oct 2024
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
38
0
0
26 Sep 2024
Improved thresholds for e-values
Improved thresholds for e-values
Christopher Blier-Wong
Ruodu Wang
31
4
0
21 Aug 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
Yarin Bar
Shalev Shaer
Yaniv Romano
TTA
OOD
61
3
0
14 Aug 2024
Continuous Monitoring via Repeated Significance
Continuous Monitoring via Repeated Significance
Eric Bax
Arundhyoti Sarkar
Alex Shtoff
23
0
0
05 Aug 2024
Early Stopping Based on Repeated Significance
Early Stopping Based on Repeated Significance
Eric Bax
Arundhyoti Sarkar
Alex Shtoff
24
1
0
01 Aug 2024
Active, anytime-valid risk controlling prediction sets
Active, anytime-valid risk controlling prediction sets
Ziyu Xu
Nikos Karampatziakis
Paul Mineiro
31
1
0
15 Jun 2024
The Concept of Statistical Evidence: Historical Roots and Current
  Developments
The Concept of Statistical Evidence: Historical Roots and Current Developments
Michael Evans
27
2
0
09 Jun 2024
Robust Reproducible Network Exploration
Robust Reproducible Network Exploration
Masaki Toyoda
Yoshimasa Uematsu
16
0
0
27 May 2024
Optimal E-Values for Exponential Families: the Simple Case
Optimal E-Values for Exponential Families: the Simple Case
Peter Grunwald
Tyron Lardy
Yunda Hao
S. Bar-Lev
Martijn de Jong
37
0
0
30 Apr 2024
Combining exchangeable p-values
Combining exchangeable p-values
Matteo Gasparin
Ruodu Wang
Aaditya Ramdas
53
5
0
04 Apr 2024
Enhancing Conformal Prediction Using E-Test Statistics
Enhancing Conformal Prediction Using E-Test Statistics
Alexander A. Balinsky
A. D. Balinsky
19
2
0
28 Mar 2024
The numeraire e-variable and reverse information projection
The numeraire e-variable and reverse information projection
Martin Larsson
Aaditya Ramdas
Johannes Ruf
34
12
0
29 Feb 2024
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests
  for Means of Multiple Data Streams
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
Brian Cho
Kyra Gan
Nathan Kallus
25
6
0
09 Feb 2024
Anytime-Valid Tests of Group Invariance through Conformal Prediction
Anytime-Valid Tests of Group Invariance through Conformal Prediction
Tyron Lardy
M. F. Pérez-Ortiz
13
2
0
27 Jan 2024
E-values, Multiple Testing and Beyond
E-values, Multiple Testing and Beyond
Guanxun Li
Xianyang Zhang
18
1
0
05 Dec 2023
Designing monitoring strategies for deployed machine learning
  algorithms: navigating performativity through a causal lens
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng
Adarsh Subbaswamy
Alexej Gossmann
Harvineet Singh
B. Sahiner
Mi-Ok Kim
Gene Pennello
N. Petrick
Romain Pirracchio
Fan Xia
19
1
0
20 Nov 2023
Online multiple testing with e-values
Online multiple testing with e-values
Ziyu Xu
Aaditya Ramdas
26
2
0
10 Nov 2023
Optimal testing using combined test statistics across independent
  studies
Optimal testing using combined test statistics across independent studies
Botond Szabó
A. van der Vaart
Lasse Vuursteen
Harry Van Zanten
28
0
0
30 Oct 2023
Deep anytime-valid hypothesis testing
Deep anytime-valid hypothesis testing
T. Pandeva
Patrick Forré
Aaditya Ramdas
S. Shekhar
35
3
0
30 Oct 2023
Anytime-valid t-tests and confidence sequences for Gaussian means with
  unknown variance
Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
Hongjian Wang
Aaditya Ramdas
13
3
0
05 Oct 2023
Post-hoc and Anytime Valid Permutation and Group Invariance Testing
Post-hoc and Anytime Valid Permutation and Group Invariance Testing
Nick W. Koning
30
2
0
02 Oct 2023
Anytime valid and asymptotically optimal statistical inference driven by
  predictive recursion
Anytime valid and asymptotically optimal statistical inference driven by predictive recursion
Vaidehi Dixit
Ryan Martin
36
2
0
23 Sep 2023
Auditing Fairness by Betting
Auditing Fairness by Betting
Ben Chugg
Santiago Cortes-Gomez
Bryan Wilder
Aaditya Ramdas
MLAU
45
7
0
27 May 2023
On the existence of powerful p-values and e-values for composite
  hypotheses
On the existence of powerful p-values and e-values for composite hypotheses
Zhenyuan Zhang
Aaditya Ramdas
Ruodu Wang
26
6
0
25 May 2023
Counterfactually Comparing Abstaining Classifiers
Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe
Aditya Gangrade
Aaditya Ramdas
14
1
0
17 May 2023
Risk-limiting Financial Audits via Weighted Sampling without Replacement
Risk-limiting Financial Audits via Weighted Sampling without Replacement
S. Shekhar
Ziyu Xu
Zachary Chase Lipton
Pierre Jinghong Liang
Aaditya Ramdas
27
3
0
08 May 2023
Optimal tests following sequential experiments
Optimal tests following sequential experiments
Karun Adusumilli
25
2
0
30 Apr 2023
Exponential Stochastic Inequality
Exponential Stochastic Inequality
Peter Grünwald
M. F. Pérez-Ortiz
Zakaria Mhammedi
29
1
0
27 Apr 2023
Randomized and Exchangeable Improvements of Markov's, Chebyshev's and
  Chernoff's Inequalities
Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities
Aaditya Ramdas
Tudor Manole
19
28
0
05 Apr 2023
E-values for k-Sample Tests With Exponential Families
E-values for k-Sample Tests With Exponential Families
Yunda Hao
Peter Grünwald
Tyron Lardy
Long Long
Reuben Adams
18
4
0
01 Mar 2023
Valid Inference for Machine Learning Model Parameters
Valid Inference for Machine Learning Model Parameters
N. Dey
Jonathan P. Williams
11
1
0
21 Feb 2023
A unified recipe for deriving (time-uniform) PAC-Bayes bounds
A unified recipe for deriving (time-uniform) PAC-Bayes bounds
Ben Chugg
Hongjian Wang
Aaditya Ramdas
24
24
0
07 Feb 2023
Testing mean and variance by e-processes
Testing mean and variance by e-processes
Yixuan Fan
Zhanyi Jiao
Ruodu Wang
19
2
0
29 Jan 2023
Huber-Robust Confidence Sequences
Huber-Robust Confidence Sequences
Hongjian Wang
Aaditya Ramdas
24
13
0
23 Jan 2023
A Sequential Test for Log-Concavity
A Sequential Test for Log-Concavity
Aditya Gangrade
Alessandro Rinaldo
Aaditya Ramdas
27
12
0
09 Jan 2023
The E-Posterior
The E-Posterior
Peter D. Grünwald
UQCV
36
17
0
03 Jan 2023
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences
  with Possibly Dependent Observations
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
Aurélien F. Bibaut
Nathan Kallus
Michael Lindon
14
9
0
29 Dec 2022
Sequential Kernelized Independence Testing
Sequential Kernelized Independence Testing
A. Podkopaev
Patrick Blobaum
S. Kasiviswanathan
Aaditya Ramdas
24
20
0
14 Dec 2022
E-Valuating Classifier Two-Sample Tests
E-Valuating Classifier Two-Sample Tests
T. Pandeva
Tim Bakker
C. A. Naesseth
Patrick Forré
28
10
0
24 Oct 2022
Anytime-valid off-policy inference for contextual bandits
Anytime-valid off-policy inference for contextual bandits
Ian Waudby-Smith
Lili Wu
Aaditya Ramdas
Nikos Karampatziakis
Paul Mineiro
OffRL
43
25
0
19 Oct 2022
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in
  Randomized Experiments
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
Michael Lindon
D. Ham
M. Tingley
Iavor Bojinov
12
5
0
16 Oct 2022
Game-theoretic statistics and safe anytime-valid inference
Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas
Peter Grünwald
V. Vovk
Glenn Shafer
40
118
0
04 Oct 2022
Model-X Sequential Testing for Conditional Independence via Testing by
  Betting
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Shalev Shaer
Gal Maman
Yaniv Romano
30
16
0
01 Oct 2022
Anytime Valid Tests of Conditional Independence Under Model-X
Anytime Valid Tests of Conditional Independence Under Model-X
Peter Grünwald
A. Henzi
Tyron Lardy
40
17
0
26 Sep 2022
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