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Distribution-Free Predictive Inference For Regression

Distribution-Free Predictive Inference For Regression

14 April 2016
Jing Lei
M. G'Sell
Alessandro Rinaldo
R. Tibshirani
Larry A. Wasserman
ArXivPDFHTML

Papers citing "Distribution-Free Predictive Inference For Regression"

50 / 106 papers shown
Title
Calibrating AI Models for Wireless Communications via Conformal
  Prediction
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
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
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
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
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
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
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
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
ACHO: Adaptive Conformal Hyperparameter Optimization
Riccardo Doyle
TPM
17
0
0
06 Jul 2022
Improved conformalized quantile regression
Improved conformalized quantile regression
Martim Sousa
Ana Maria Tomé
José Manuel Moreira
26
6
0
06 Jul 2022
Modular Conformal Calibration
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
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
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
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
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
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
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
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
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
Synthetic Control As Online Linear Regression
Jiafeng Chen
OffRL
27
16
0
17 Feb 2022
Adaptive Conformal Predictions for Time Series
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
Stable Conformal Prediction Sets
Eugène Ndiaye
22
20
0
19 Dec 2021
Predicting Code Review Completion Time in Modern Code Review
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
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
Conformal Bayesian Computation
Edwin Fong
Chris Holmes
32
24
0
11 Jun 2021
Bias, Fairness, and Accountability with AI and ML Algorithms
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Exchangeability, Conformal Prediction, and Rank Tests
Arun K. Kuchibhotla
23
47
0
13 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki
Dariusz Parzych
P. Biecek
13
44
0
01 May 2020
Verified Uncertainty Calibration
Verified Uncertainty Calibration
Ananya Kumar
Percy Liang
Tengyu Ma
8
345
0
23 Sep 2019
Computing Full Conformal Prediction Set with Approximate Homotopy
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugène Ndiaye
Ichiro Takeuchi
11
15
0
20 Sep 2019
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