Moment Multicalibration for Uncertainty Estimation

Moment Multicalibration for Uncertainty Estimation

18 August 2020

Christopher Jung

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Papers citing "Moment Multicalibration for Uncertainty Estimation"

18 / 18 papers shown

Title
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 244 0 0 13 Dec 2024
Automatically Adaptive Conformal Risk Control Vincent Blot Anastasios Nikolas Angelopoulos Michael I Jordan Nicolas Brunel AI4CE 434 3 0 25 Jun 2024
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 93 60 0 18 Jun 2020
Sample Complexity of Uniform Convergence for Multicalibration Eliran Shabat Lee Cohen Yishay Mansour FaML 66 28 0 04 May 2020
Is distribution-free inference possible for binary regression? Rina Foygel Barber 79 28 0 20 Apr 2020
A New Analysis of Differential Privacy's Generalization Guarantees Christopher Jung Katrina Ligett Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Moshe Shenfeld FedML 94 47 0 09 Sep 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 123 86 0 25 May 2019
The limits of distribution-free conditional predictive inference Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Robert Tibshirani UQCV 396 277 0 12 Mar 2019
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 115 209 0 24 Aug 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 248 345 0 31 May 2018
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 77 86 0 08 Mar 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 89 146 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,107 0 06 Mar 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 205 784 0 14 Nov 2017
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 72 477 0 23 May 2016
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 104 268 0 08 Nov 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 111 376 0 10 Nov 2014
A tutorial on conformal prediction Glenn Shafer V. Vovk 466 1,152 0 21 Jun 2007