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bayes optimal classifier
bayes optimal classifier
18 papers
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Co-occurring keywords
k-nearest neighbor
(152)
adversarial robustness
(1341)
candidate label
(17)
convex surrogate
(22)
calibrated surrogate
(4)
multiclass classification
(181)
partial label learning
(68)
binary classification
(678)
probabilistic modeling
(852)
decision boundary
(161)
Papers
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
ICML 2023
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
ICML 2023
Progressive Purification for Instance-Dependent Partial Label Learning
ICML 2023
Robustness to Label Noise Depends on the Shape of the Noise Distribution
NIPS 2022
Knowledge Distillation: Bad Models Can Be Good Role Models
NIPS 2022
Optimal Binary Classification Beyond Accuracy
NIPS 2022
On the Existence of The Adversarial Bayes Classifier
NIPS 2021
Consistent Non-Parametric Methods for Maximizing Robustness
NIPS 2021
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
CVPR 2021
Convex Calibrated Surrogates for the Multi-Label F-Measure
ICML 2020
Learning with Bounded Instance and Label-dependent Label Noise
ICML 2020
Fairness with Overlapping Groups; a Probabilistic Perspective
NIPS 2020
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
ICML 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
ICML 2018
Convex Calibrated Surrogates for Hierarchical Classification
ICML 2015
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
NIPS 2014
Consistency versus Realizable H-Consistency for Multiclass Classification
ICML 2013
The Minimum Error Minimax Probability Machine
JMLR 2004
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