Imagen de Portada

Budgeted Multiple-Expert Deferral

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	DeSalvo, Giulia, Mohri, Clara, Mohri, Mehryar, Zhong, Yutao
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Regression with Multi-Expert Deferral
por: Mao, Anqi, et al.
Publicado: (2024)

Optimized Deferral for Imbalanced Settings
por: Cortes, Corinna, et al.
Publicado: (2026)

Principled Approaches for Learning to Defer with Multiple Experts
por: Mao, Anqi, et al.
Publicado: (2023)

Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
por: Mao, Anqi, et al.
Publicado: (2025)

Beyond Tsybakov: Model Margin Noise and $\mathcal{H}$-Consistency Bounds
por: Mohri, Mehryar, et al.
Publicado: (2025)

Mind the Gap: Structure-Aware Consistency in Preference Learning
por: Mohri, Mehryar, et al.
Publicado: (2026)

Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
por: Mohri, Mehryar, et al.
Publicado: (2026)

Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
por: Mohri, Mehryar, et al.
Publicado: (2026)

Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
por: Mao, Anqi, et al.
Publicado: (2025)

Improved Balanced Classification with Theoretically Grounded Loss Functions
por: Cortes, Corinna, et al.
Publicado: (2025)

Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
por: Mao, Anqi, et al.
Publicado: (2024)

$H$-Consistency Guarantees for Regression
por: Mao, Anqi, et al.
Publicado: (2024)

A Universal Growth Rate for Learning with Smooth Surrogate Losses
por: Mao, Anqi, et al.
Publicado: (2024)

Top-$k$ Classification and Cardinality-Aware Prediction
por: Mao, Anqi, et al.
Publicado: (2024)

Enhanced $H$-Consistency Bounds
por: Mao, Anqi, et al.
Publicado: (2024)

Multi-Label Learning with Stronger Consistency Guarantees
por: Mao, Anqi, et al.
Publicado: (2024)

Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
por: Mohri, Mehryar, et al.
Publicado: (2026)

Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
por: Mao, Anqi, et al.
Publicado: (2023)

Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
por: Mao, Anqi, et al.
Publicado: (2023)

A Theoretical Framework for Modular Learning of Robust Generative Models
por: Cortes, Corinna, et al.
Publicado: (2026)

Rational Transductors
por: Mohri, Mehryar
Publicado: (2026)

Cardinality-Aware Set Prediction and Top-$k$ Classification
por: Cortes, Corinna, et al.
Publicado: (2024)

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
por: Cortes, Corinna, et al.
Publicado: (2025)

Coherence Mechanisms for Provable Self-Improvement
por: Mohri, Mehryar, et al.
Publicado: (2025)

Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning
por: Dann, Christoph, et al.
Publicado: (2026)

Algorithms for Learning Kernels Based on Centered Alignment
por: Cortes, Corinna, et al.
Publicado: (2012)

Distributional Alignment Games for Answer-Level Fine-Tuning
por: Mohri, Mehryar, et al.
Publicado: (2026)

Differentially Private Domain Adaptation with Theoretical Guarantees
por: Bassily, Raef, et al.
Publicado: (2023)

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
por: Jiang, Ruichen, 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)

Rate-Preserving Reductions for Blackwell Approachability
por: Dann, Christoph, et al.
Publicado: (2024)

High-Dimensional Calibration from Swap Regret
por: Fishelson, Maxwell, et al.
Publicado: (2025)

Next-Token Prediction and Regret Minimization
por: Mohri, Mehryar, et al.
Publicado: (2026)

Efficient Opportunistic Approachability
por: Marinov, Teodor Vanislavov, et al.
Publicado: (2026)

Language Models with Conformal Factuality Guarantees
por: Mohri, Christopher, et al.
Publicado: (2024)

Online Decision Deferral under Budget Constraints
por: Reid, Mirabel, et al.
Publicado: (2024)

Swap Regret and Correlated Equilibria Beyond Normal-Form Games
por: Arunachaleswaran, Eshwar Ram, et al.
Publicado: (2025)

Fast Inference via Hierarchical Speculative Decoding
por: Mohri, Clara, et al.
Publicado: (2025)

Cost-Aware Learning
por: Mohri, Clara, et al.
Publicado: (2026)

A Bitter Lesson for Data Filtering
por: Mohri, Christopher, et al.
Publicado: (2026)