Multiclass Classification, Information, Divergence, and Surrogate Risk

Type: Preprint

Publication Date: 2016-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1603.00126

Locations

  • arXiv (Cornell University) - View - PDF
  • Project Euclid (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Multiclass classification, information, divergence and surrogate risk 2018 John C. Duchi
Khashayar Khosravi
Feng Ruan
+ Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses. 2016 John C. Duchi
Khashayar Khosravi
Feng Ruan
+ Divergences, surrogate loss functions and experimental design 2005 Long Nguyen
Martin J. Wainwright
Michael I. Jordan
+ Information, Divergence and Risk for Binary Experiments 2009 Mark D. Reid
Robert C. Williamson
+ Information, Divergence and Risk for Binary Experiments 2011 Mark D. Reid
Robert C. Williamson
+ On surrogate loss functions and f-divergences 2009 XuanLong Nguyen
Martin J. Wainwright
Michael I. Jordan
+ Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence 2018 Michel Broniatowski
Wolfgang Stummer
+ Bregman Divergence Bounds and the Universality of the Logarithmic Loss. 2018 Amichai Painsky
Gregory W. Wornell
+ On information divergence measures, surrogate loss functions and decentralized hypothesis testing 2005 XuanLong Nguyen
Martin J. Wainwright
Michael I. Jordan
+ Cost-sensitive classification based on Bregman divergences 2011 RaĂșl Santos RodrĂ­guez
+ Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss 2018 Amichai Painsky
Gregory W. Wornell
+ Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss 2018 Amichai Painsky
Gregory W. Wornell
+ The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression 2017 Ran El‐Yaniv
Yonatan Geifman
Yair Wiener
+ Unified Binary and Multiclass Margin-Based Classification 2023 Yutong Wang
Clayton Scott
+ Multiclass Classification Calibration Functions 2016 Bernardo Ávila Pires
Csaba SzepesvĂĄri
+ Divergences and Risks for Multiclass Experiments 2012 DarĂ­o GarcĂ­a-GarcĂ­a
Robert C. Williamson
+ Optimal Bayesian Risk-based Multi-class Classification 2020 Lori A. Dalton
Edward R. Dougherty
+ Risk-Based Generalizations of f-divergences 2011 Ulrike von Luxburg
RaĂșl Santos‐RodrĂ­guez
Dar o Garc a-garc a
+ On loss functions and regret bounds for multi-category classification 2020 Zhiqiang Tan
Xinwei Zhang
+ PDF Chat Cost-Sensitive Learning Based on Bregman Divergences 2009 RaĂșl Santos‐RodrĂ­guez
Alicia Guerrero-Curieses
RocĂ­o AlĂĄiz-RodrĂ­guez
JesĂșs Cid‐Sueiro

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors