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Approximate Conditional Coverage & Calibration via Neural Model Approximations
28 May 2022
A. Schmaltz
Danielle Rasooly
UQCV
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Papers citing
"Approximate Conditional Coverage & Calibration via Neural Model Approximations"
16 / 16 papers shown
Title
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Distribution-free uncertainty quantification for classification under label shift
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Michael I. Jordan
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Classification with Valid and Adaptive Coverage
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Matteo Sesia
Emmanuel J. Candès
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SemEval-2017 Task 4: Sentiment Analysis in Twitter
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Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
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Eduard H. Hovy
Zachary Chase Lipton
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Evaluating Protein Transfer Learning with TAPE
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Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
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19 Jun 2019
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
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299
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14 Jun 2017
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Mauricio Sadinle
Jing Lei
Larry A. Wasserman
181
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02 Sep 2016
Compositional Sequence Labeling Models for Error Detection in Learner Writing
Marek Rei
H. Yannakoudakis
57
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20 Jul 2016
Large-scale probabilistic predictors with and without guarantees of validity
V. Vovk
Ivan Petej
Valentina Fedorova
49
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01 Nov 2015
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
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Tomas Mikolov
M. Schuster
Qi Ge
T. Brants
P. Koehn
T. Robinson
190
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ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
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165
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Venn-Abers predictors
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Ivan Petej
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Conditional validity of inductive conformal predictors
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233
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12 Sep 2012
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