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1604.04173
Cited By
Distribution-Free Predictive Inference For Regression
14 April 2016
Jing Lei
M. G'Sell
Alessandro Rinaldo
R. Tibshirani
Larry A. Wasserman
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Papers citing
"Distribution-Free Predictive Inference For Regression"
50 / 106 papers shown
Title
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
24
6
0
15 Dec 2022
Distribution Free Prediction Sets for Node Classification
J. Clarkson
AI4CE
30
24
0
26 Nov 2022
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
Matteo Sesia
Stefano Favaro
Edgar Dobriban
13
8
0
09 Nov 2022
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
34
16
0
14 Oct 2022
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods
Alex Contarino
Christine M. Schubert-Kabban
Chancellor Johnstone
Fairul Mohd-Zaid
28
3
0
07 Oct 2022
Conditional Feature Importance for Mixed Data
Kristin Blesch
David S. Watson
Marvin N. Wright
40
7
0
06 Oct 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
S. Sun
AI4CE
23
10
0
08 Sep 2022
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
22
7
0
05 Aug 2022
ACHO: Adaptive Conformal Hyperparameter Optimization
Riccardo Doyle
TPM
17
0
0
06 Jul 2022
Improved conformalized quantile regression
Martim Sousa
Ana Maria Tomé
José Manuel Moreira
26
6
0
06 Jul 2022
Modular Conformal Calibration
Charles Marx
Shengjia Zhao
W. Neiswanger
Stefano Ermon
24
15
0
23 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
MedIm
19
4
0
22 Jun 2022
Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang
Ruijiang Gao
Mingzhang Yin
Mingyuan Zhou
David M. Blei
TPM
34
22
0
14 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
12
51
0
07 Jun 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
18
6
0
05 Jun 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder
Yaniv Romano
Matteo Sesia
Yanfei Zhou
UQCV
21
47
0
12 May 2022
Training-conditional coverage for distribution-free predictive inference
Michael Bian
Rina Foygel Barber
22
25
0
07 May 2022
On the Utility of Prediction Sets in Human-AI Teams
Varun Babbar
Umang Bhatt
Adrian Weller
12
31
0
03 May 2022
Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites
Michael Smith
Peter Snyder
Moritz Haller
B. Livshits
D. Stefan
Hamed Haddadi
6
8
0
07 Mar 2022
Synthetic Control As Online Linear Regression
Jiafeng Chen
OffRL
27
16
0
17 Feb 2022
Adaptive Conformal Predictions for Time Series
Margaux Zaffran
Aymeric Dieuleveut
Olivier Féron
Y. Goude
Julie Josse
AI4TS
28
127
0
15 Feb 2022
Stable Conformal Prediction Sets
Eugène Ndiaye
22
20
0
19 Dec 2021
Predicting Code Review Completion Time in Modern Code Review
Moataz Chouchen
Jefferson Olongo
Ali Ouni
Mohamed Wiem Mkaouer
10
4
0
30 Sep 2021
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection
Afek Ilay Adler
Amichai Painsky
17
67
0
12 Sep 2021
Conformal Bayesian Computation
Edwin Fong
Chris Holmes
32
24
0
11 Jun 2021
Bias, Fairness, and Accountability with AI and ML Algorithms
Neng-Zhi Zhou
Zach Zhang
V. Nair
Harsh Singhal
Jie Chen
Agus Sudjianto
FaML
16
8
0
13 May 2021
Root-finding Approaches for Computing Conformal Prediction Set
Eugène Ndiaye
Ichiro Takeuchi
11
10
0
14 Apr 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Jiaye Teng
Zeren Tan
Yang Yuan
24
13
0
08 Mar 2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Zhen Lin
Cao Xiao
Lucas Glass
M. P. M. Brandon Westover
Jimeng Sun
BDL
13
11
0
05 Mar 2021
Distribution-free uncertainty quantification for classification under label shift
A. Podkopaev
Aaditya Ramdas
UQCV
9
83
0
04 Mar 2021
Significance tests of feature relevance for a black-box learner
Ben Dai
Xiaotong Shen
Wei Pan
15
25
0
02 Mar 2021
Flexible Model Aggregation for Quantile Regression
Rasool Fakoor
Tae-Soo Kim
Jonas W. Mueller
Alexander J. Smola
R. Tibshirani
17
19
0
26 Feb 2021
Distribution-Free Conditional Median Inference
Dhruv Medarametla
Emmanuel J. Candès
14
15
0
16 Feb 2021
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Giovanni Cherubin
K. Chatzikokolakis
Martin Jaggi
20
14
0
05 Feb 2021
Learning Prediction Intervals for Model Performance
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
8
10
0
15 Dec 2020
Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
4
95
0
30 Nov 2020
Learning Certified Control using Contraction Metric
Dawei Sun
Susmit Jha
Chuchu Fan
10
74
0
25 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
22
241
0
21 Nov 2020
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models
Jiafeng Chen
Daniel L. Chen
Greg Lewis
CML
17
15
0
12 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
21
33
0
06 Nov 2020
Reactive motion planning with probabilistic safety guarantees
Yuxiao Chen
Ugo Rosolia
Chuchu Fan
Aaron D. Ames
R. Murray
16
32
0
06 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
10
397
0
19 Oct 2020
Robust Validation: Confident Predictions Even When Distributions Shift
Maxime Cauchois
Suyash Gupta
Alnur Ali
John C. Duchi
OOD
7
89
0
10 Aug 2020
Making learning more transparent using conformalized performance prediction
Matthew J. Holland
FedML
9
10
0
09 Jul 2020
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani
Enrico Bagli
F. Chesani
FAtt
11
60
0
10 Jun 2020
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana
Gianluca Zeni
S. Vantini
14
126
0
16 May 2020
Exchangeability, Conformal Prediction, and Rank Tests
Arun K. Kuchibhotla
23
47
0
13 May 2020
The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki
Dariusz Parzych
P. Biecek
13
44
0
01 May 2020
Verified Uncertainty Calibration
Ananya Kumar
Percy Liang
Tengyu Ma
8
345
0
23 Sep 2019
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugène Ndiaye
Ichiro Takeuchi
11
15
0
20 Sep 2019
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