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Minimax Classification with 0-1 Loss and Performance Guarantees

Minimax Classification with 0-1 Loss and Performance Guarantees

15 October 2020
Santiago Mazuelas
Andrea Zanoni
Aritz Pérez Martínez
ArXiv (abs)PDFHTML

Papers citing "Minimax Classification with 0-1 Loss and Performance Guarantees"

12 / 12 papers shown
Title
Reliable Programmatic Weak Supervision with Confidence Intervals for Label Probabilities
Reliable Programmatic Weak Supervision with Confidence Intervals for Label ProbabilitiesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Verónica Álvarez
Santiago Mazuelas
Steven An
Sanjoy Dasgupta
68
0
0
05 Aug 2025
On the Hypomonotone Class of Variational Inequalities
On the Hypomonotone Class of Variational Inequalities
Khaled Alomar
Tatjana Chavdarova
132
0
0
20 Jan 2025
Minimax Forward and Backward Learning of Evolving Tasks with Performance
  Guarantees
Minimax Forward and Backward Learning of Evolving Tasks with Performance GuaranteesNeural Information Processing Systems (NeurIPS), 2023
Verónica Álvarez
Santiago Mazuelas
Jose A. Lozano
CLL
169
2
0
24 Oct 2023
Efficient Learning of Minimax Risk Classifiers in High Dimensions
Efficient Learning of Minimax Risk Classifiers in High DimensionsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Kartheek Bondugula
Santiago Mazuelas
Aritz Pérez Martínez
107
0
0
11 Jun 2023
Minimax optimal high-dimensional classification using deep neural
  networks
Minimax optimal high-dimensional classification using deep neural networks
Shuoyang Wang
Zuofeng Shang
153
4
0
04 Mar 2023
Solving Constrained Variational Inequalities via a First-order Interior
  Point-based Method
Solving Constrained Variational Inequalities via a First-order Interior Point-based MethodInternational Conference on Learning Representations (ICLR), 2022
Tong Yang
Michael I. Jordan
Tatjana Chavdarova
208
11
0
21 Jun 2022
Minimax Classification under Concept Drift with Multidimensional
  Adaptation and Performance Guarantees
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance GuaranteesInternational Conference on Machine Learning (ICML), 2022
Verónica Álvarez
Santiago Mazuelas
Jose A. Lozano
139
5
0
31 May 2022
Deep Neural Network Classifier for Multi-dimensional Functional Data
Deep Neural Network Classifier for Multi-dimensional Functional DataScandinavian Journal of Statistics (Scand. J. Stat.), 2022
Shuoyang Wang
Guanqun Cao
Zuofeng Shang
156
14
0
17 May 2022
Minimax risk classifiers with 0-1 loss
Minimax risk classifiers with 0-1 lossJournal of machine learning research (JMLR), 2022
Santiago Mazuelas
Mauricio Romero
Peter Grünwald
399
6
0
17 Jan 2022
MRCpy: A Library for Minimax Risk Classifiers
MRCpy: A Library for Minimax Risk Classifiers
Kartheek Bondugula
Verónica Álvarez
José I. Segovia-Martín
Aritz Pérez Martínez
Santiago Mazuelas
217
5
0
04 Aug 2021
Generalized Maximum Entropy for Supervised Classification
Generalized Maximum Entropy for Supervised ClassificationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Santiago Mazuelas
Yuan-Chung Shen
Aritz Pérez
283
34
0
10 Jul 2020
Adversarial Risk via Optimal Transport and Optimal Couplings
Adversarial Risk via Optimal Transport and Optimal CouplingsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Muni Sreenivas Pydi
Varun Jog
199
60
0
05 Dec 2019
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