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. 1802.09098
  4. Cited By
SAFFRON: an adaptive algorithm for online control of the false discovery
  rate
v1v2 (latest)

SAFFRON: an adaptive algorithm for online control of the false discovery rate

25 February 2018
Aaditya Ramdas
Tijana Zrnic
Martin J. Wainwright
Michael I. Jordan
ArXiv (abs)PDFHTML

Papers citing "SAFFRON: an adaptive algorithm for online control of the false discovery rate"

14 / 14 papers shown
Title
Cost-aware Generalized $α$-investing for Multiple Hypothesis
  Testing
Cost-aware Generalized ααα-investing for Multiple Hypothesis Testing
Thomas Cook
Harshit Dubey
John A. Lee
Guangyu Zhu
Ting Zhao
Patrick Flaherty
27
3
0
31 Oct 2022
Sequential algorithmic modification with test data reuse
Sequential algorithmic modification with test data reuse
Jean Feng
Gene Pennello
N. Petrick
B. Sahiner
Romain Pirracchio
Alexej Gossmann
54
4
0
21 Mar 2022
Online false discovery rate control for anomaly detection in time series
Online false discovery rate control for anomaly detection in time series
Quentin Rebjock
Barics Kurt
Tim Januschowski
Laurent Callot
AI4TS
57
14
0
06 Dec 2021
Dynamic Algorithms for Online Multiple Testing
Dynamic Algorithms for Online Multiple Testing
Ziyu Xu
Aaditya Ramdas
35
11
0
26 Oct 2020
PAPRIKA: Private Online False Discovery Rate Control
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang
Gautam Kamath
Rachel Cummings
58
6
0
27 Feb 2020
Approval policies for modifications to Machine Learning-Based Software
  as a Medical Device: A study of bio-creep
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep
Jean Feng
S. Emerson
N. Simon
66
20
0
28 Dec 2019
The Power of Batching in Multiple Hypothesis Testing
The Power of Batching in Multiple Hypothesis Testing
Tijana Zrnic
Daniel Jiang
Aaditya Ramdas
Michael I. Jordan
61
14
0
11 Oct 2019
Online control of the familywise error rate
Online control of the familywise error rate
Jinjin Tian
Aaditya Ramdas
55
28
0
10 Oct 2019
ADDIS: an adaptive discarding algorithm for online FDR control with
  conservative nulls
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Jinjin Tian
Aaditya Ramdas
70
27
0
27 May 2019
Contextual Online False Discovery Rate Control
Contextual Online False Discovery Rate Control
Shiyun Chen
S. Kasiviswanathan
52
17
0
07 Feb 2019
Asynchronous Online Testing of Multiple Hypotheses
Asynchronous Online Testing of Multiple Hypotheses
Tijana Zrnic
Aaditya Ramdas
Michael I. Jordan
102
31
0
12 Dec 2018
Simultaneous high-probability bounds on the false discovery proportion
  in structured, regression, and online settings
Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings
Eugene Katsevich
Aaditya Ramdas
50
19
0
19 Mar 2018
DAGGER: A sequential algorithm for FDR control on DAGs
DAGGER: A sequential algorithm for FDR control on DAGs
Aaditya Ramdas
Jianbo Chen
Martin J. Wainwright
Michael I. Jordan
70
17
0
29 Sep 2017
A unified treatment of multiple testing with prior knowledge using the
  p-filter
A unified treatment of multiple testing with prior knowledge using the p-filter
Aaditya Ramdas
Rina Foygel Barber
Martin J. Wainwright
Michael I. Jordan
86
95
0
18 Mar 2017
1