HappyMap: A Generalized Multi-calibration Method

8 March 2023

Papers citing "HappyMap: A Generalized Multi-calibration Method"

37 / 37 papers shown

Title
Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Hongyi Henry Jin Zijun Ding Dung Daniel Ngo Zhiwei Steven Wu 148 0 0 23 May 2025
A Generic Framework for Conformal Fairness Aditya T. Vadlamani Anutam Srinivasan Pranav Maneriker Ali Payani Srinivasan Parthasarathy FaML FedML 426 2 0 22 May 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 516 4 0 13 Mar 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 521 2 0 17 Feb 2025
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data Ryumei Nakada Halil Ibrahim Gulluk Zhun Deng Wenlong Ji James Zou Linjun Zhang SSL VLM 93 41 0 13 Feb 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise Haotian Ye James Zou Linjun Zhang OOD 65 23 0 20 Oct 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Zou Chelsea Finn UQCV OOD 83 60 0 11 Oct 2022
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 248 53 0 30 Sep 2022
Practical Adversarial Multivalid Conformal Prediction Osbert Bastani Varun Gupta Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 195 56 0 02 Jun 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 97 41 0 02 Mar 2022
Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao Yu Wang Sai Li Linjun Zhang Weixin Liang James Zou Chelsea Finn OOD OODD 105 223 0 02 Jan 2022
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 76 9 0 04 Nov 2021
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 188 87 0 06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Zou Linjun Zhang SSL 110 53 0 06 Oct 2021
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 84 54 0 11 Sep 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 213 624 0 15 Jul 2021
Understanding Dynamics of Nonlinear Representation Learning and Its Application Kenji Kawaguchi Linjun Zhang Zhun Deng 192 12 0 28 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 87 54 0 18 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 90 56 0 04 Jun 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 95 44 0 05 Jan 2021
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 73 68 0 26 Nov 2020
Moment Multicalibration for Uncertainty Estimation Christopher Jung Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra UQCV 233 66 0 18 Aug 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 104 84 0 26 Jul 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 122 220 0 20 Jun 2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations Zhun Deng Frances Ding Cynthia Dwork Rachel Hong Giovanni Parmigiani Prasad Patil Pragya Sur OOD FaML 56 30 0 20 Jun 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 172 195 0 11 Jun 2020
With Malice Towards None: Assessing Uncertainty via Equalized Coverage Yaniv Romano Rina Foygel Barber C. Sabatti Emmanuel J. Candès UQCV 156 74 0 15 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 198 2,246 0 05 Jul 2019
Conformalized Quantile Regression Yaniv Romano Evan Patterson Emmanuel J. Candès 491 617 0 08 May 2019
The limits of distribution-free conditional predictive inference Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Robert Tibshirani UQCV 394 277 0 12 Mar 2019
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 248 345 0 31 May 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 202 784 0 14 Nov 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,783 0 19 Sep 2016
Generalization in Adaptive Data Analysis and Holdout Reuse Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 89 231 0 08 Jun 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 105 376 0 10 Nov 2014
Estimating conditional quantiles with the help of the pinball loss Ingo Steinwart A. Christmann 308 243 0 10 Feb 2011
A tutorial on conformal prediction Glenn Shafer V. Vovk 456 1,151 0 21 Jun 2007