Saved in:
| Main Author: | Mohri, Mehryar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.07599 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mind the Gap: Structure-Aware Consistency in Preference Learning
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Beyond Tsybakov: Model Margin Noise and $\mathcal{H}$-Consistency Bounds
by: Mohri, Mehryar, et al.
Published: (2025)
by: Mohri, Mehryar, et al.
Published: (2025)
Budgeted Multiple-Expert Deferral
by: DeSalvo, Giulia, et al.
Published: (2025)
by: DeSalvo, Giulia, et al.
Published: (2025)
Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning
by: Dann, Christoph, et al.
Published: (2026)
by: Dann, Christoph, et al.
Published: (2026)
Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
A Theoretical Framework for Modular Learning of Robust Generative Models
by: Cortes, Corinna, et al.
Published: (2026)
by: Cortes, Corinna, et al.
Published: (2026)
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Regression with Multi-Expert Deferral
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
by: Mao, Anqi, et al.
Published: (2025)
by: Mao, Anqi, et al.
Published: (2025)
$H$-Consistency Guarantees for Regression
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
A Universal Growth Rate for Learning with Smooth Surrogate Losses
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Top-$k$ Classification and Cardinality-Aware Prediction
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Coherence Mechanisms for Provable Self-Improvement
by: Mohri, Mehryar, et al.
Published: (2025)
by: Mohri, Mehryar, et al.
Published: (2025)
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
by: Mao, Anqi, et al.
Published: (2025)
by: Mao, Anqi, et al.
Published: (2025)
Improved Balanced Classification with Theoretically Grounded Loss Functions
by: Cortes, Corinna, et al.
Published: (2025)
by: Cortes, Corinna, et al.
Published: (2025)
Enhanced $H$-Consistency Bounds
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Principled Approaches for Learning to Defer with Multiple Experts
by: Mao, Anqi, et al.
Published: (2023)
by: Mao, Anqi, et al.
Published: (2023)
Multi-Label Learning with Stronger Consistency Guarantees
by: Mao, Anqi, et al.
Published: (2024)
by: Mao, Anqi, et al.
Published: (2024)
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
by: Mao, Anqi, et al.
Published: (2023)
by: Mao, Anqi, et al.
Published: (2023)
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
by: Mao, Anqi, et al.
Published: (2023)
by: Mao, Anqi, et al.
Published: (2023)
Cardinality-Aware Set Prediction and Top-$k$ Classification
by: Cortes, Corinna, et al.
Published: (2024)
by: Cortes, Corinna, et al.
Published: (2024)
Algorithms for Learning Kernels Based on Centered Alignment
by: Cortes, Corinna, et al.
Published: (2012)
by: Cortes, Corinna, et al.
Published: (2012)
Distributional Alignment Games for Answer-Level Fine-Tuning
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Optimized Deferral for Imbalanced Settings
by: Cortes, Corinna, et al.
Published: (2026)
by: Cortes, Corinna, et al.
Published: (2026)
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
by: Cortes, Corinna, et al.
Published: (2025)
by: Cortes, Corinna, et al.
Published: (2025)
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
by: Jiang, Ruichen, et al.
Published: (2026)
by: Jiang, Ruichen, et al.
Published: (2026)
Differentially Private Domain Adaptation with Theoretical Guarantees
by: Bassily, Raef, et al.
Published: (2023)
by: Bassily, Raef, et al.
Published: (2023)
Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance
by: Block, Jacob L., et al.
Published: (2026)
by: Block, Jacob L., et al.
Published: (2026)
Rate-Preserving Reductions for Blackwell Approachability
by: Dann, Christoph, et al.
Published: (2024)
by: Dann, Christoph, et al.
Published: (2024)
High-Dimensional Calibration from Swap Regret
by: Fishelson, Maxwell, et al.
Published: (2025)
by: Fishelson, Maxwell, et al.
Published: (2025)
Next-Token Prediction and Regret Minimization
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Efficient Opportunistic Approachability
by: Marinov, Teodor Vanislavov, et al.
Published: (2026)
by: Marinov, Teodor Vanislavov, et al.
Published: (2026)
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
Language Models with Conformal Factuality Guarantees
by: Mohri, Christopher, et al.
Published: (2024)
by: Mohri, Christopher, et al.
Published: (2024)
A Bitter Lesson for Data Filtering
by: Mohri, Christopher, et al.
Published: (2026)
by: Mohri, Christopher, et al.
Published: (2026)
Cost-Aware Learning
by: Mohri, Clara, et al.
Published: (2026)
by: Mohri, Clara, et al.
Published: (2026)
Fast Inference via Hierarchical Speculative Decoding
by: Mohri, Clara, et al.
Published: (2025)
by: Mohri, Clara, et al.
Published: (2025)
Reinforcement Learning for Unsupervised Video Summarization with Reward Generator Training
by: Abbasi, Mehryar, et al.
Published: (2024)
by: Abbasi, Mehryar, et al.
Published: (2024)
Similar Items
-
Mind the Gap: Structure-Aware Consistency in Preference Learning
by: Mohri, Mehryar, et al.
Published: (2026) -
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
by: Mohri, Mehryar, et al.
Published: (2026) -
Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
by: Mohri, Mehryar, et al.
Published: (2026) -
Beyond Tsybakov: Model Margin Noise and $\mathcal{H}$-Consistency Bounds
by: Mohri, Mehryar, et al.
Published: (2025) -
Budgeted Multiple-Expert Deferral
by: DeSalvo, Giulia, et al.
Published: (2025)