Multiclass classification, information, divergence and surrogate risk
From MaRDI portal
Publication:1990579
DOI10.1214/17-AOS1657zbMath1408.62115arXiv1603.00126OpenAlexW2962762853MaRDI QIDQ1990579
Khashayar Khosravi, Feng Ruan, John C. Duchi
Publication date: 25 October 2018
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.00126
Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Optimal statistical designs (62K05) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On surrogate loss functions and \(f\)-divergences
- f-dissimilarity: A generalization of the affinity of several distributions
- Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
- On the Bayes-risk consistency of regularized boosting methods.
- Multiclass classification, information, divergence and surrogate risk
- On the f-divergence and singularity of probability measures
- How to compare different loss functions and their risks
- On Divergences and Informations in Statistics and Information Theory
- Applications of Ali-Silvey Distance Measures in the Design Generalized Quantizers for Binary Decision Systems
- Statistical information and discrimination
- Optimal Design of Experiments
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Information, Divergence and Risk for Binary Experiments
- Elements of Information Theory
- Uncertainty, Information, and Sequential Experiments
- Convexity, Classification, and Risk Bounds
- Some aspects of the sequential design of experiments
- The case for objective Bayesian analysis
