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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?"

18 / 18 papers shown
Reliable Programmatic Weak Supervision with Confidence Intervals for Label Probabilities
Reliable Programmatic Weak Supervision with Confidence Intervals for Label ProbabilitiesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Verónica Álvarez
Santiago Mazuelas
Steven An
Sanjoy Dasgupta
187
1
0
05 Aug 2025
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
404
4
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
256
1
0
24 May 2024
Learning minimal volume uncertainty ellipsoids
Learning minimal volume uncertainty ellipsoidsIEEE Signal Processing Letters (SPL), 2024
Itai Alon
David Arnon
A. Wiesel
336
4
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
520
2
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
278
0
0
03 Aug 2023
Distribution-free inference with hierarchical data
Distribution-free inference with hierarchical data
Yonghoon Lee
Rina Foygel Barber
Rebecca Willett
522
15
0
10 Jun 2023
On the Within-Group Fairness of Screening Classifiers
On the Within-Group Fairness of Screening ClassifiersInternational Conference on Machine Learning (ICML), 2023
William Orchard
Stratis Tsirtsis
Manuel Gomez Rodriguez
534
4
0
31 Jan 2023
Beyond calibration: estimating the grouping loss of modern neural
  networks
Beyond calibration: estimating the grouping loss of modern neural networksInternational Conference on Learning Representations (ICLR), 2022
Alexandre Perez-Lebel
Marine Le Morvan
Gaël Varoquaux
UQCV
318
35
0
28 Oct 2022
Conformal Prediction Sets with Limited False Positives
Conformal Prediction Sets with Limited False PositivesInternational Conference on Machine Learning (ICML), 2022
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
256
32
0
15 Feb 2022
Improving Screening Processes via Calibrated Subset Selection
Improving Screening Processes via Calibrated Subset SelectionInternational Conference on Machine Learning (ICML), 2022
Lequn Wang
Thorsten Joachims
Manuel Gomez Rodriguez
CML
314
21
0
02 Feb 2022
Local permutation tests for conditional independence
Local permutation tests for conditional independenceAnnals of Statistics (Ann. Stat.), 2021
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
385
37
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
1.7K
967
0
15 Jul 2021
Distribution-free inference for regression: discrete, continuous, and in
  between
Distribution-free inference for regression: discrete, continuous, and in betweenNeural Information Processing Systems (NeurIPS), 2021
Yonghoon Lee
Rina Foygel Barber
523
9
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 EmbeddingsIEEE Control Systems Letters (L-CSS), 2021
Ambrus Tamás
Balázs Csanád Csáji
268
4
0
08 Mar 2021
Distribution-Free Conditional Median Inference
Distribution-Free Conditional Median InferenceElectronic Journal of Statistics (EJS), 2021
Dhruv Medarametla
Emmanuel J. Candès
305
17
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
507
75
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
632
92
0
18 Jun 2020
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