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Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention

Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention

23 October 2023
Anqi Mao
M. Mohri
Yutao Zhong
ArXivPDFHTML

Papers citing "Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention"

17 / 17 papers shown
Title
Multi-Label Learning with Stronger Consistency Guarantees
Multi-Label Learning with Stronger Consistency Guarantees
Anqi Mao
M. Mohri
Yutao Zhong
36
5
0
18 Jul 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for
  Learning to Defer
Realizable HHH-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao
M. Mohri
Yutao Zhong
38
8
0
18 Jul 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification
Cardinality-Aware Set Prediction and Top-kkk Classification
Corinna Cortes
Anqi Mao
Christopher Mohri
M. Mohri
Yutao Zhong
30
5
0
09 Jul 2024
Cascade-Aware Training of Language Models
Cascade-Aware Training of Language Models
Congchao Wang
Sean Augenstein
Keith Rush
Wittawat Jitkrittum
Harikrishna Narasimhan
A. S. Rawat
A. Menon
Alec Go
25
4
0
29 May 2024
Hierarchical Selective Classification
Hierarchical Selective Classification
Shani Goren
Ido Galil
Ran El-Yaniv
BDL
42
1
0
19 May 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao
M. Mohri
Yutao Zhong
21
6
0
09 May 2024
Top-$k$ Classification and Cardinality-Aware Prediction
Top-kkk Classification and Cardinality-Aware Prediction
Anqi Mao
M. Mohri
Yutao Zhong
18
7
0
28 Mar 2024
Regression with Multi-Expert Deferral
Regression with Multi-Expert Deferral
Anqi Mao
M. Mohri
Yutao Zhong
21
11
0
28 Mar 2024
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
18
9
0
28 Mar 2024
Regression with Cost-based Rejection
Regression with Cost-based Rejection
Xin Cheng
Yuzhou Cao
Haobo Wang
Hongxin Wei
Bo An
Lei Feng
OOD
33
7
0
08 Nov 2023
In Defense of Softmax Parametrization for Calibrated and Consistent
  Learning to Defer
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Yuzhou Cao
Hussein Mozannar
Lei Feng
Hongxin Wei
Bo An
31
16
0
02 Nov 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
  Algorithms
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
Anqi Mao
M. Mohri
Yutao Zhong
24
23
0
23 Oct 2023
When No-Rejection Learning is Consistent for Regression with Rejection
When No-Rejection Learning is Consistent for Regression with Rejection
Xiaocheng Li
Shang Liu
Chunlin Sun
Hanrui Wang
38
0
0
06 Jul 2023
Plugin estimators for selective classification with out-of-distribution
  detection
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan
A. Menon
Wittawat Jitkrittum
Surinder Kumar
OODD
20
4
0
29 Jan 2023
Learning to Reject with a Fixed Predictor: Application to
  Decontextualization
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Christopher Mohri
D. Andor
Eunsol Choi
Michael Collins
BDL
15
22
0
22 Jan 2023
A Finer Calibration Analysis for Adversarial Robustness
A Finer Calibration Analysis for Adversarial Robustness
Pranjal Awasthi
Anqi Mao
M. Mohri
Yutao Zhong
AAML
46
30
0
04 May 2021
Exponential Savings in Agnostic Active Learning through Abstention
Exponential Savings in Agnostic Active Learning through Abstention
Nikita Puchkin
Nikita Zhivotovskiy
13
20
0
31 Jan 2021
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