Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Fuente:
arXiv
Guardado en:
| Autores principales: | Mao, Anqi, Mohri, Mehryar, Zhong, Yutao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
por: Mao, Anqi, et al.
Publicado: (2023)
por: Mao, Anqi, et al.
Publicado: (2023)
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Improved Balanced Classification with Theoretically Grounded Loss Functions
por: Cortes, Corinna, et al.
Publicado: (2025)
por: Cortes, Corinna, et al.
Publicado: (2025)
A Universal Growth Rate for Learning with Smooth Surrogate Losses
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
por: Mao, Anqi, et al.
Publicado: (2025)
por: Mao, Anqi, et al.
Publicado: (2025)
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
por: Cortes, Corinna, et al.
Publicado: (2025)
por: Cortes, Corinna, et al.
Publicado: (2025)
Regression with Multi-Expert Deferral
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Multi-Label Learning with Stronger Consistency Guarantees
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Principled Approaches for Learning to Defer with Multiple Experts
por: Mao, Anqi, et al.
Publicado: (2023)
por: Mao, Anqi, et al.
Publicado: (2023)
$H$-Consistency Guarantees for Regression
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Top-$k$ Classification and Cardinality-Aware Prediction
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
por: Mao, Anqi, et al.
Publicado: (2025)
por: Mao, Anqi, et al.
Publicado: (2025)
Enhanced $H$-Consistency Bounds
por: Mao, Anqi, et al.
Publicado: (2024)
por: Mao, Anqi, et al.
Publicado: (2024)
Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Cardinality-Aware Set Prediction and Top-$k$ Classification
por: Cortes, Corinna, et al.
Publicado: (2024)
por: Cortes, Corinna, et al.
Publicado: (2024)
Optimized Deferral for Imbalanced Settings
por: Cortes, Corinna, et al.
Publicado: (2026)
por: Cortes, Corinna, et al.
Publicado: (2026)
A Theoretical Framework for Modular Learning of Robust Generative Models
por: Cortes, Corinna, et al.
Publicado: (2026)
por: Cortes, Corinna, et al.
Publicado: (2026)
Beyond Tsybakov: Model Margin Noise and $\mathcal{H}$-Consistency Bounds
por: Mohri, Mehryar, et al.
Publicado: (2025)
por: Mohri, Mehryar, et al.
Publicado: (2025)
Mind the Gap: Structure-Aware Consistency in Preference Learning
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral
por: Mao, Anqi
Publicado: (2025)
por: Mao, Anqi
Publicado: (2025)
Differentially Private Domain Adaptation with Theoretical Guarantees
por: Bassily, Raef, et al.
Publicado: (2023)
por: Bassily, Raef, et al.
Publicado: (2023)
Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Budgeted Multiple-Expert Deferral
por: DeSalvo, Giulia, et al.
Publicado: (2025)
por: DeSalvo, Giulia, et al.
Publicado: (2025)
Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning
por: Dann, Christoph, et al.
Publicado: (2026)
por: Dann, Christoph, et al.
Publicado: (2026)
Rational Transductors
por: Mohri, Mehryar
Publicado: (2026)
por: Mohri, Mehryar
Publicado: (2026)
Algorithms for Learning Kernels Based on Centered Alignment
por: Cortes, Corinna, et al.
Publicado: (2012)
por: Cortes, Corinna, et al.
Publicado: (2012)
Coherence Mechanisms for Provable Self-Improvement
por: Mohri, Mehryar, et al.
Publicado: (2025)
por: Mohri, Mehryar, et al.
Publicado: (2025)
Distributional Alignment Games for Answer-Level Fine-Tuning
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance
por: Block, Jacob L., et al.
Publicado: (2026)
por: Block, Jacob L., et al.
Publicado: (2026)
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
por: Jiang, Ruichen, et al.
Publicado: (2026)
por: Jiang, Ruichen, et al.
Publicado: (2026)
Rate-Preserving Reductions for Blackwell Approachability
por: Dann, Christoph, et al.
Publicado: (2024)
por: Dann, Christoph, et al.
Publicado: (2024)
High-Dimensional Calibration from Swap Regret
por: Fishelson, Maxwell, et al.
Publicado: (2025)
por: Fishelson, Maxwell, et al.
Publicado: (2025)
Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
por: Li, Xia, et al.
Publicado: (2025)
por: Li, Xia, et al.
Publicado: (2025)
Next-Token Prediction and Regret Minimization
por: Mohri, Mehryar, et al.
Publicado: (2026)
por: Mohri, Mehryar, et al.
Publicado: (2026)
Efficient Opportunistic Approachability
por: Marinov, Teodor Vanislavov, et al.
Publicado: (2026)
por: Marinov, Teodor Vanislavov, et al.
Publicado: (2026)
Bounded-Abstention Multi-horizon Time-series Forecasting
por: Stradiotti, Luca, et al.
Publicado: (2026)
por: Stradiotti, Luca, et al.
Publicado: (2026)
Fundamental Novel Consistency Theory: $H$-Consistency Bounds
por: Zhong, Yutao
Publicado: (2025)
por: Zhong, Yutao
Publicado: (2025)
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
por: Arunachaleswaran, Eshwar Ram, et al.
Publicado: (2025)
por: Arunachaleswaran, Eshwar Ram, et al.
Publicado: (2025)
Policy Learning with Abstention
por: Sawarni, Ayush, et al.
Publicado: (2025)
por: Sawarni, Ayush, et al.
Publicado: (2025)
Ejemplares similares
-
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
por: Mao, Anqi, et al.
Publicado: (2023) -
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
por: Mao, Anqi, et al.
Publicado: (2024) -
Improved Balanced Classification with Theoretically Grounded Loss Functions
por: Cortes, Corinna, et al.
Publicado: (2025) -
A Universal Growth Rate for Learning with Smooth Surrogate Losses
por: Mao, Anqi, et al.
Publicado: (2024) -
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
por: Mao, Anqi, et al.
Publicado: (2025)