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Is distribution-free inference possible for binary regression?
v1v2v3 (latest)

Is distribution-free inference possible for binary regression?

20 April 2020
Rina Foygel Barber
ArXiv (abs)PDFHTML

Papers citing "Is distribution-free inference possible for binary regression?"

17 / 17 papers shown
Title
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
Benjamin Brown
Kai Zhang
Xiao-Li Meng
56
2
0
01 Jul 2025
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement
  Processes
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes
Seungeon Lee
N. C. Benz
Suhas Thejaswi
Manuel Gomez Rodriguez
75
0
0
24 May 2024
Learning minimal volume uncertainty ellipsoids
Learning minimal volume uncertainty ellipsoids
Itai Alon
David Arnon
A. Wiesel
83
1
0
03 May 2024
The Limits of Assumption-free Tests for Algorithm Performance
The Limits of Assumption-free Tests for Algorithm Performance
Yuetian Luo
Rina Foygel Barber
162
1
0
12 Feb 2024
Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
Ambrus Tamás
Balázs Csanád Csáji
UQCV
39
0
0
03 Aug 2023
Distribution-free inference with hierarchical data
Distribution-free inference with hierarchical data
Yonghoon Lee
Rina Foygel Barber
Rebecca Willett
81
11
0
10 Jun 2023
On the Within-Group Fairness of Screening Classifiers
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati
Stratis Tsirtsis
Manuel Gomez Rodriguez
93
2
0
31 Jan 2023
Beyond calibration: estimating the grouping loss of modern neural
  networks
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel
Marine Le Morvan
Gaël Varoquaux
UQCV
72
27
0
28 Oct 2022
Conformal Prediction Sets with Limited False Positives
Conformal Prediction Sets with Limited False Positives
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
77
23
0
15 Feb 2022
Improving Screening Processes via Calibrated Subset Selection
Improving Screening Processes via Calibrated Subset Selection
Lequn Wang
Thorsten Joachims
Manuel Gomez Rodriguez
CML
91
18
0
02 Feb 2022
Local permutation tests for conditional independence
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
91
28
0
22 Dec 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free
  Uncertainty Quantification
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
231
625
0
15 Jul 2021
Distribution-free inference for regression: discrete, continuous, and in
  between
Distribution-free inference for regression: discrete, continuous, and in between
Yonghoon Lee
Rina Foygel Barber
48
7
0
28 May 2021
Exact Distribution-Free Hypothesis Tests for the Regression Function of
  Binary Classification via Conditional Kernel Mean Embeddings
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings
Ambrus Tamás
Balázs Csanád Csáji
64
4
0
08 Mar 2021
Distribution-Free Conditional Median Inference
Distribution-Free Conditional Median Inference
Dhruv Medarametla
Emmanuel J. Candès
75
16
0
16 Feb 2021
Moment Multicalibration for Uncertainty Estimation
Moment Multicalibration for Uncertainty Estimation
Christopher Jung
Changhwa Lee
Mallesh M. Pai
Aaron Roth
R. Vohra
UQCV
245
66
0
18 Aug 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
114
83
0
18 Jun 2020
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