ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.03167
  4. Cited By
Admissible anytime-valid sequential inference must rely on nonnegative
  martingales
v1v2v3 (latest)

Admissible anytime-valid sequential inference must rely on nonnegative martingales

7 September 2020
Aaditya Ramdas
Johannes Ruf
Martin Larsson
Wouter M. Koolen
ArXiv (abs)PDFHTML

Papers citing "Admissible anytime-valid sequential inference must rely on nonnegative martingales"

50 / 54 papers shown
Title
Optimal e-value testing for properly constrained hypotheses
Optimal e-value testing for properly constrained hypotheses
Eugenio Clerico
88
3
0
30 Dec 2024
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm
  Identification for Nonparametric Multi-Armed Bandits
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
Brian M Cho
Dominik Meier
Kyra Gan
Nathan Kallus
60
1
0
21 Oct 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
54
0
0
19 Oct 2024
Anytime-Valid Continuous-Time Confidence Processes for Inhomogeneous
  Poisson Processes
Anytime-Valid Continuous-Time Confidence Processes for Inhomogeneous Poisson Processes
Michael Lindon
Nathan Kallus
77
0
0
11 Oct 2024
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
149
0
0
26 Sep 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
265
5
0
24 Sep 2024
On universal inference in Gaussian mixture models
On universal inference in Gaussian mixture models
Hongjian Shi
Mathias Drton
69
2
0
28 Jul 2024
Active, anytime-valid risk controlling prediction sets
Active, anytime-valid risk controlling prediction sets
Ziyu Xu
Nikos Karampatziakis
Paul Mineiro
67
3
0
15 Jun 2024
The numeraire e-variable and reverse information projection
The numeraire e-variable and reverse information projection
Martin Larsson
Aaditya Ramdas
Johannes Ruf
93
13
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 M Cho
Kyra Gan
Nathan Kallus
62
8
0
09 Feb 2024
Gambling-Based Confidence Sequences for Bounded Random Vectors
Gambling-Based Confidence Sequences for Bounded Random Vectors
J. Jon Ryu
G. Wornell
84
3
0
06 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
50
1
0
27 Jan 2024
Online multiple testing with e-values
Online multiple testing with e-values
Ziyu Xu
Aaditya Ramdas
76
4
0
10 Nov 2023
Early-Exit Neural Networks with Nested Prediction Sets
Early-Exit Neural Networks with Nested Prediction Sets
Metod Jazbec
Patrick Forré
Stephan Mandt
Dan Zhang
Eric T. Nalisnick
UQCV
56
1
0
10 Nov 2023
Post-hoc and Anytime Valid Permutation and Group Invariance Testing
Post-hoc and Anytime Valid Permutation and Group Invariance Testing
Nick W. Koning
85
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
75
1
0
23 Sep 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous
  Populations
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam
Fan Yin
Huibin
Mary Hu
Neil A. Tenenholtz
Lorin Crawford
Lester W. Mackey
Allison Koenecke
50
3
0
20 Jun 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
72
6
0
25 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
68
4
0
08 May 2023
Sequential Predictive Two-Sample and Independence Testing
Sequential Predictive Two-Sample and Independence Testing
Aleksandr Podkopaev
Aaditya Ramdas
105
15
0
29 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
211
30
0
05 Apr 2023
The extended Ville's inequality for nonintegrable nonnegative
  supermartingales
The extended Ville's inequality for nonintegrable nonnegative supermartingales
Hongjian Wang
Aaditya Ramdas
84
7
0
03 Apr 2023
Design-Based Inference for Multi-arm Bandits
Design-Based Inference for Multi-arm Bandits
D. Ham
Iavor Bojinov
Michael Lindon
M. Tingley
104
1
0
27 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
131
26
0
07 Feb 2023
A Sequential Test for Log-Concavity
A Sequential Test for Log-Concavity
Aditya Gangrade
Alessandro Rinaldo
Aaditya Ramdas
55
12
0
09 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
68
11
0
29 Dec 2022
Sequential Kernelized Independence Testing
Sequential Kernelized Independence Testing
Aleksandr Podkopaev
Patrick Blobaum
S. Kasiviswanathan
Aaditya Ramdas
98
21
0
14 Dec 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
119
30
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
74
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
114
130
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
122
18
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
108
19
0
26 Sep 2022
Efficiency of nonparametric e-tests
Efficiency of nonparametric e-tests
V. Vovk
Ruodu Wang
53
5
0
18 Aug 2022
E-Statistics, Group Invariance and Anytime Valid Testing
E-Statistics, Group Invariance and Anytime Valid Testing
M. F. Pérez-Ortiz
Tyron Lardy
R. D. Heide
Peter Grünwald
92
22
0
16 Aug 2022
Anytime-valid sequential testing for elicitable functionals via
  supermartingales
Anytime-valid sequential testing for elicitable functionals via supermartingales
P. Casgrain
Martin Larsson
J. Ziegel
68
9
0
12 Apr 2022
Post-selection inference for e-value based confidence intervals
Post-selection inference for e-value based confidence intervals
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
213
17
0
23 Mar 2022
A composite generalization of Ville's martingale theorem
A composite generalization of Ville's martingale theorem
Johannes Ruf
Martin Larsson
Wouter M. Koolen
Aaditya Ramdas
125
14
0
09 Mar 2022
E-detectors: a nonparametric framework for sequential change detection
E-detectors: a nonparametric framework for sequential change detection
Jaehyeok Shin
Aaditya Ramdas
Alessandro Rinaldo
150
12
0
07 Mar 2022
Data fission: splitting a single data point
Data fission: splitting a single data point
James Leiner
Boyan Duan
Larry A. Wasserman
Aaditya Ramdas
100
37
0
21 Dec 2021
Nonparametric Two-Sample Testing by Betting
Nonparametric Two-Sample Testing by Betting
S. Shekhar
Aaditya Ramdas
108
30
0
16 Dec 2021
Comparing Sequential Forecasters
Comparing Sequential Forecasters
Yo Joong Choe
Aaditya Ramdas
AI4TS
143
12
0
30 Sep 2021
A unified framework for bandit multiple testing
A unified framework for bandit multiple testing
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
49
18
0
15 Jul 2021
Generic E-Variables for Exact Sequential k-Sample Tests that allow for
  Optional Stopping
Generic E-Variables for Exact Sequential k-Sample Tests that allow for Optional Stopping
Rosanne Turner
A. Ly
Peter Grünwald
86
14
0
04 Jun 2021
Martingale Methods for Sequential Estimation of Convex Functionals and
  Divergences
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
Tudor Manole
Aaditya Ramdas
73
20
0
16 Mar 2021
Valid sequential inference on probability forecast performance
Valid sequential inference on probability forecast performance
A. Henzi
J. Ziegel
82
37
0
15 Mar 2021
Time-uniform central limit theory and asymptotic confidence sequences
Time-uniform central limit theory and asymptotic confidence sequences
Ian Waudby-Smith
David Arbour
Ritwik Sinha
Edward H. Kennedy
Aaditya Ramdas
CML
166
28
0
11 Mar 2021
Off-policy Confidence Sequences
Off-policy Confidence Sequences
Nikos Karampatziakis
Paul Mineiro
Aaditya Ramdas
OffRL
89
16
0
18 Feb 2021
Testing exchangeability: fork-convexity, supermartingales, and
  e-processes
Testing exchangeability: fork-convexity, supermartingales, and e-processes
Aaditya Ramdas
Johannes Ruf
Martin Larsson
Wouter M. Koolen
168
64
0
01 Feb 2021
The Anytime-Valid Logrank Test: Error Control Under Continuous
  Monitoring with Unlimited Horizon
The Anytime-Valid Logrank Test: Error Control Under Continuous Monitoring with Unlimited Horizon
Judith ter Schure
M. F. Pérez-Ortiz
Alexander Ly
Peter D. Grünwald
59
3
0
13 Nov 2020
p-value peeking and estimating extrema
p-value peeking and estimating extrema
Akshay Balsubramani
22
0
0
02 Nov 2020
12
Next