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. 1810.08240
  4. Cited By
Time-uniform, nonparametric, nonasymptotic confidence sequences
v1v2v3v4v5v6v7v8v9 (latest)

Time-uniform, nonparametric, nonasymptotic confidence sequences

18 October 2018
Steven R. Howard
Aaditya Ramdas
Jon D. McAuliffe
Jasjeet Sekhon
ArXiv (abs)PDFHTML

Papers citing "Time-uniform, nonparametric, nonasymptotic confidence sequences"

15 / 65 papers shown
Title
Estimating means of bounded random variables by betting
Estimating means of bounded random variables by betting
Ian Waudby-Smith
Aaditya Ramdas
195
163
0
19 Oct 2020
Nonparametric iterated-logarithm extensions of the sequential
  generalized likelihood ratio test
Nonparametric iterated-logarithm extensions of the sequential generalized likelihood ratio test
Jaehyeok Shin
Aaditya Ramdas
Alessandro Rinaldo
25
7
0
16 Oct 2020
Admissible anytime-valid sequential inference must rely on nonnegative
  martingales
Admissible anytime-valid sequential inference must rely on nonnegative martingales
Aaditya Ramdas
Johannes Ruf
Martin Larsson
Wouter M. Koolen
94
111
0
07 Sep 2020
False discovery rate control with e-values
False discovery rate control with e-values
Ruodu Wang
Aaditya Ramdas
124
100
0
06 Sep 2020
Trade-off between validity and efficiency of merging p-values under
  arbitrary dependence
Trade-off between validity and efficiency of merging p-values under arbitrary dependence
Yuyu Chen
Peng Liu
K. S. Tan
Ruodu Wang
98
15
0
24 Jul 2020
An Empirical Process Approach to the Union Bound: Practical Algorithms
  for Combinatorial and Linear Bandits
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels
Lalit P. Jain
Zohar Karnin
Kevin Jamieson
191
67
0
21 Jun 2020
Distribution-free binary classification: prediction sets, confidence
  intervals and calibration
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta
Aleksandr Podkopaev
Aaditya Ramdas
UQCV
120
83
0
18 Jun 2020
Uncertainty Quantification for Inferring Hawkes Networks
Uncertainty Quantification for Inferring Hawkes Networks
Haoyun Wang
Liyan Xie
Alex Cuozzo
Simon Mak
Yao Xie
67
17
0
12 Jun 2020
Uncertainty quantification using martingales for misspecified Gaussian
  processes
Uncertainty quantification using martingales for misspecified Gaussian processes
Willie Neiswanger
Aaditya Ramdas
UQCV
50
14
0
12 Jun 2020
Confidence sequences for sampling without replacement
Confidence sequences for sampling without replacement
Ian Waudby-Smith
Aaditya Ramdas
79
43
0
08 Jun 2020
E-values: Calibration, combination, and applications
E-values: Calibration, combination, and applications
V. Vovk
Ruodu Wang
110
202
0
12 Dec 2019
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad
David A. Hirshberg
Ruohan Zhan
Stefan Wager
Susan Athey
130
147
0
07 Nov 2019
Sequential estimation of quantiles with applications to A/B-testing and
  best-arm identification
Sequential estimation of quantiles with applications to A/B-testing and best-arm identification
Steven R. Howard
Aaditya Ramdas
132
60
0
24 Jun 2019
On the bias, risk and consistency of sample means in multi-armed bandits
On the bias, risk and consistency of sample means in multi-armed bandits
Jaehyeok Shin
Aaditya Ramdas
Alessandro Rinaldo
95
36
0
02 Feb 2019
Mixture Martingales Revisited with Applications to Sequential Tests and
  Confidence Intervals
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
E. Kaufmann
Wouter M. Koolen
128
123
0
28 Nov 2018
Previous
12