Cover Image

Algorithms for Learning Kernels Based on Centered Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cortes, Corinna, Mohri, Mehryar, Rostamizadeh, Afshin
Format:	Preprint
Published:	2012
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Theoretical Framework for Modular Learning of Robust Generative Models
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)

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

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

Optimized Deferral for Imbalanced Settings
by: Cortes, Corinna, et al.
Published: (2026)

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

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

Rational Transductors
by: Mohri, Mehryar
Published: (2026)

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

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

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

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

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

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

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

Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
by: Jung, Hee-Jun, et al.
Published: (2022)

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

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

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

DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023)

Center-Sensitive Kernel Optimization for Efficient On-Device Incremental Learning
by: Zhang, Dingwen, et al.
Published: (2024)

Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
by: Vakili, Sattar, et al.
Published: (2024)

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

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

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

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

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

Manifold Approximation leads to Robust Kernel Alignment
by: Islam, Mohammad Tariqul, 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)

Adaptive Online Learning with LSTM Networks for Energy Price Prediction
by: Salihoglu, Salih, et al.
Published: (2025)

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

Budgeted Multiple-Expert Deferral
by: DeSalvo, Giulia, et al.
Published: (2025)

Policy Newton Algorithm in Reproducing Kernel Hilbert Space
by: Zhang, Yixian, et al.
Published: (2025)

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

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

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

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

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

An Optimization Algorithm for Multimodal Data Alignment
by: Zhang, Wei, et al.
Published: (2025)

Kernel-Based Learning of Safety Barriers
by: Schön, Oliver, et al.
Published: (2026)