'Minimax Risk Classifiers with 0-1 Loss', by Santiago Mazuelas, Mauricio Romero, Peter Grunwald.
http://jmlr.org/papers/v24/22-0339.html
#classifiers #classification #supervised
#classifiers #classification #supervised
'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.
http://jmlr.org/papers/v24/21-1250.html
#adversarial #classifiers #learnability
#adversarial #classifiers #learnability
Projected Randomized Smoothing for Certified Adversarial Robustness
#robustness #robust #classifiers
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
Action editor: Qibin Zhao.
#adversarial #classifiers #robustness
'From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions', by Johannes Resin.
http://jmlr.org/papers/v24/23-0106.html
#classifiers #classification #prediction
#classifiers #classification #prediction
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
Action editor: Hsuan-Tien Lin.
New #SurveyCertification:
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
#surveycertification #classifiers #classifier #roc
Learning to Incentivize Improvements from Strategic Agents
Yatong Chen, Jialu Wang, Yang Liu
Action editor: Pascal Poupart.
#classifiers #strategies #strategic
Finding Competence Regions in Domain Generalization
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe
Action editor: Hanwang Zhang.
#classifiers #Accuracy #classifier
'Generalization error bounds for multiclass sparse linear classifiers', by Tomer Levy, Felix Abramovich.
http://jmlr.org/papers/v24/22-0367.html
#classifiers #multiclass #misclassification
#classifiers #multiclass #misclassification
Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration
Kaspar Valk, Meelis Kull
Action editor: Aditya Menon.
#classifiers #classifier #calibration
Vulnerability-Aware Instance Reweighting For Adversarial Training
#adversarial #classifiers #robustness
Quantifying Uncertainty of Uplift
#uplift #classifiers #uncertainty
Finding Competence Regions in Domain Generalization
#classifiers #Accuracy #classifier
Trusting the Untrustworthy: A Cautionary Tale on the Pitfalls of Training-based Rejection Option
#misclassification #classifiers #classification
Simple Non-Parametric Calibration of Multi-Class Classifiers
#classifier #classifiers #calibration
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister
#classifiers #supervised #labeling
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister
#featuredcertification #classifiers #supervised #labeling
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
#classifiers #classification #classifier