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Large-scale probabilistic predictors with and without guarantees of
  validity
v1v2 (latest)

Large-scale probabilistic predictors with and without guarantees of validity

1 November 2015
V. Vovk
Ivan Petej
Valentina Fedorova
ArXiv (abs)PDFHTML

Papers citing "Large-scale probabilistic predictors with and without guarantees of validity"

15 / 15 papers shown
Title
Protected Probabilistic Classification Library
Protected Probabilistic Classification Library
Ivan Petej
0
0
0
14 Sep 2025
Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
Mohamed Hassan Abdalla Idris
Jakub Marek Cebula
Jebraeel Gholinezhad
Shamsul Masum
Hongjie Ma
OOD
20
0
0
12 Aug 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
123
0
0
02 May 2025
Rethinking Early Stopping: Refine, Then Calibrate
Rethinking Early Stopping: Refine, Then Calibrate
Eugene Berta
David Holzmüller
Michael I. Jordan
Francis Bach
217
2
0
31 Jan 2025
Calibrated Large Language Models for Binary Question Answering
Calibrated Large Language Models for Binary Question Answering
Patrizio Giovannotti
Alexander Gammerman
78
1
0
01 Jul 2024
Risk-Controlling Model Selection via Guided Bayesian Optimization
Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
TPM
94
5
0
04 Dec 2023
Conformal Language Modeling
Conformal Language Modeling
Victor Quach
Adam Fisch
Tal Schuster
Adam Yala
J. Sohn
Tommi Jaakkola
Regina Barzilay
312
78
0
16 Jun 2023
Calibrated Explanations: with Uncertainty Information and
  Counterfactuals
Calibrated Explanations: with Uncertainty Information and Counterfactuals
Helena Lofstrom
Tuwe Lofstrom
Gregory Rice
Cecilia Sonstrod
136
17
0
03 May 2023
Efficiently Controlling Multiple Risks with Pareto Testing
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
224
16
0
14 Oct 2022
Approximate Conditional Coverage & Calibration via Neural Model
  Approximations
Approximate Conditional Coverage & Calibration via Neural Model Approximations
A. Schmaltz
Danielle Rasooly
UQCV
89
0
0
28 May 2022
Calibration of Natural Language Understanding Models with Venn--ABERS
  Predictors
Calibration of Natural Language Understanding Models with Venn--ABERS Predictors
Patrizio Giovannotti
172
6
0
21 May 2022
Conformal Prediction Sets with Limited False Positives
Conformal Prediction Sets with Limited False Positives
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
101
24
0
15 Feb 2022
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
243
87
0
18 Jun 2020
Computationally efficient versions of conformal predictive distributions
Computationally efficient versions of conformal predictive distributions
V. Vovk
Ivan Petej
I. Nouretdinov
Valery Manokhin
A. Gammerman
141
40
0
03 Nov 2019
Online Isotonic Regression
Online Isotonic Regression
W. Kotłowski
Wouter M. Koolen
Alan Malek
122
18
0
14 Mar 2016
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