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2005.01757
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Sample Complexity of Uniform Convergence for Multicalibration
Neural Information Processing Systems (NeurIPS), 2020
4 May 2020
Eliran Shabat
Lee Cohen
Yishay Mansour
FaML
Re-assign community
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Papers citing
"Sample Complexity of Uniform Convergence for Multicalibration"
23 / 23 papers shown
MCGrad: Multicalibration at Web Scale
Lorenzo Perini
Daniel Haimovich
Fridolin Linder
Niek Tax
Dima Karamshuk
Milan Vojnovic
Nastaran Okati
Pavlos Athanasios Apostolopoulos
236
2
0
24 Sep 2025
Auditability and the Landscape of Distance to Multicalibration
Nathan Derhake
Siddartha Devic
Dutch Hansen
Kuan Liu
Willie Neiswanger
175
0
0
21 Sep 2025
Measuring multi-calibration
Ido Guy
Daniel Haimovich
Fridolin Linder
Nastaran Okati
Lorenzo Perini
Niek Tax
Mark Tygert
206
3
0
12 Jun 2025
When is Multicalibration Post-Processing Necessary?
Dutch Hansen
Siddartha Devic
Preetum Nakkiran
Willie Neiswanger
312
16
0
10 Jun 2024
Reconciling Model Multiplicity for Downstream Decision Making
Ally Yalei Du
Dung Daniel Ngo
Zhiwei Steven Wu
216
6
0
30 May 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic
Aleksandra Korolova
David Kempe
Willie Neiswanger
336
9
0
14 Feb 2024
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
Neural Information Processing Systems (NeurIPS), 2023
Nika Haghtalab
Michael I. Jordan
Eric Zhao
451
27
0
21 Feb 2023
Multicalibration as Boosting for Regression
International Conference on Machine Learning (ICML), 2023
Ira Globus-Harris
Declan Harrison
Michael Kearns
Aaron Roth
Jessica Sorrell
378
36
0
31 Jan 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes
Information Technology Convergence and Services (ITCS), 2022
Lunjia Hu
Charlotte Peale
246
10
0
16 Nov 2022
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
International Conference on Algorithmic Learning Theory (ALT), 2022
Lunjia Hu
Charlotte Peale
Omer Reingold
285
6
0
09 Mar 2022
Low-Degree Multicalibration
Annual Conference Computational Learning Theory (COLT), 2022
Parikshit Gopalan
Michael P. Kim
M. Singhal
Shengjia Zhao
FaML
UQCV
386
52
0
02 Mar 2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization
D. Durfee
Aman Gupta
Kinjal Basu
UQCV
191
2
0
10 Feb 2022
An Exploration of Multicalibration Uniform Convergence Bounds
Harrison Rosenberg
Robi Bhattacharjee
Kassem Fawaz
S. Jha
203
1
0
09 Feb 2022
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao
Michael P. Kim
Roshni Sahoo
Tengyu Ma
Stefano Ermon
261
76
0
12 Jul 2021
Assessing Generalization of SGD via Disagreement
International Conference on Learning Representations (ICLR), 2021
Yiding Jiang
Vaishnavh Nagarajan
Christina Baek
J. Zico Kolter
475
134
0
25 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
Neural Information Processing Systems (NeurIPS), 2021
Yu Bai
Song Mei
Huan Wang
Caiming Xiong
UQCV
167
15
0
10 Jun 2021
Multi-group Agnostic PAC Learnability
International Conference on Machine Learning (ICML), 2021
G. Rothblum
G. Yona
FaML
334
48
0
20 May 2021
On Calibration and Out-of-domain Generalization
Neural Information Processing Systems (NeurIPS), 2021
Yoav Wald
Amir Feder
D. Greenfeld
Uri Shalit
OODD
581
175
0
20 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
International Conference on Machine Learning (ICML), 2021
Yu Bai
Song Mei
Haiquan Wang
Caiming Xiong
355
46
0
15 Feb 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals
Information Technology Convergence and Services (ITCS), 2021
Varun Gupta
Christopher Jung
Georgy Noarov
Mallesh M. Pai
Aaron Roth
302
50
0
05 Jan 2021
Stronger Calibration Lower Bounds via Sidestepping
Symposium on the Theory of Computing (STOC), 2020
Mingda Qiao
Gregory Valiant
596
31
0
07 Dec 2020
Outcome Indistinguishability
Cynthia Dwork
Michael P. Kim
Omer Reingold
G. Rothblum
G. Yona
386
84
0
26 Nov 2020
Moment Multicalibration for Uncertainty Estimation
Christopher Jung
Changhwa Lee
Mallesh M. Pai
Aaron Roth
R. Vohra
UQCV
507
75
0
18 Aug 2020
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