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MAPIE: an open-source library for distribution-free uncertainty
  quantification

MAPIE: an open-source library for distribution-free uncertainty quantification

25 July 2022
V. Taquet
Vincent Blot
Thomas Morzadec
L. Lacombe
Nicolas Brunel
    UQCV
ArXivPDFHTML

Papers citing "MAPIE: an open-source library for distribution-free uncertainty quantification"

13 / 13 papers shown
Title
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
Huanting Wang
Patrick Lenihan
Zheng Wang
35
0
0
03 Jan 2025
Beyond Conformal Predictors: Adaptive Conformal Inference with
  Confidence Predictors
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors
Johan Hallberg Szabadváry
29
0
0
23 Sep 2024
Adaptive Conformal Inference for Multi-Step Ahead Time-Series
  Forecasting Online
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
Johan Hallberg Szabadváry
35
3
0
23 Sep 2024
Conformal time series decomposition with component-wise exchangeability
Conformal time series decomposition with component-wise exchangeability
Derck W. E. Prinzhorn
Thijmen Nijdam
Putri A. van der Linden
Alexander Timans
41
2
0
24 Jun 2024
From Conformal Predictions to Confidence Regions
From Conformal Predictions to Confidence Regions
Charles Guille-Escuret
Eugene Ndiaye
35
1
0
28 May 2024
Onboard Out-of-Calibration Detection of Deep Learning Models using
  Conformal Prediction
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
Protim Bhattacharjee
Peter Jung
16
0
0
04 May 2024
Machine Learning Optimized Approach for Parameter Selection in MESHFREE
  Simulations
Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations
Paulami Banerjee
Mohan Padmanabha
Chaitanya Sanghavi
Isabel Michel
Simone Gramsch
AI4CE
43
1
0
20 Mar 2024
Interpretable Machine Learning for TabPFN
Interpretable Machine Learning for TabPFN
David Rundel
Julius Kobialka
Constantin von Crailsheim
Matthias Feurer
Thomas Nagler
David Rügamer
AI4CE
32
3
0
16 Mar 2024
Uncertainty quantification for probabilistic machine learning in earth
  observation using conformal prediction
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
26
13
0
12 Jan 2024
From Group-Differences to Single-Subject Probability: Conformal
  Prediction-based Uncertainty Estimation for Brain-Age Modeling
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
J. Ernsting
N. Winter
Ramona Leenings
K. Sarink
Carlotta B. C. Barkhau
...
Nako Investigators
Klaus Berger
Benjamin Risse
U. Dannlowski
Tim Hahn
11
3
0
10 Feb 2023
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
126
0
03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
176
185
0
07 Jan 2021
Conformal prediction for time series
Conformal prediction for time series
Chen Xu
Yao Xie
AI4TS
38
32
0
18 Oct 2020
1