Cover Image

Universal Multiclass Transductive Online Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hanneke, Steve, Wang, Hongao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multiclass Transductive Online Learning
by: Hanneke, Steve, et al.
Published: (2024)

A Theory of Optimistically Universal Online Learnability for General Concept Classes
by: Hanneke, Steve, et al.
Published: (2025)

Optimal Mistake Bounds for Transductive Online Learning
by: Chase, Zachary, et al.
Published: (2025)

Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
by: Attias, Idan, et al.
Published: (2025)

Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
by: Filmus, Yuval, et al.
Published: (2024)

A Theory of Universal Agnostic Learning
by: Hanneke, Steve, et al.
Published: (2026)

Regret-Oracle Complexity Tradeoffs in Agnostic Online Learning
by: Attias, Idan, et al.
Published: (2026)

Universal rates of ERM for agnostic learning
by: Hanneke, Steve, et al.
Published: (2025)

Universal Rates of Empirical Risk Minimization
by: Hanneke, Steve, et al.
Published: (2024)

Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back
by: Cohen, Alon, et al.
Published: (2025)

The Dimension of Self-Directed Learning
by: Devulapalli, Pramith, et al.
Published: (2024)

Learning from Snapshots of Discrete and Continuous Data Streams
by: Devulapalli, Pramith, et al.
Published: (2024)

When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
by: Hanneke, Steve, et al.
Published: (2026)

On Characterizing Learnability for Adversarial Noisy Bandits
by: Hanneke, Steve, et al.
Published: (2026)

Optimal Learners for Realizable Regression: PAC Learning and Online Learning
by: Attias, Idan, et al.
Published: (2023)

A Complete Characterization of Learnability for Stochastic Noisy Bandits
by: Hanneke, Steve, et al.
Published: (2024)

Adaptive Sample Aggregation In Transfer Learning
by: Hanneke, Steve, et al.
Published: (2024)

Adversarially Robust PAC Learnability of Real-Valued Functions
by: Attias, Idan, et al.
Published: (2022)

Transductive and Learning-Augmented Online Regression
by: Raman, Vinod, et al.
Published: (2025)

Private List Learnability vs. Online List Learnability
by: Hanneke, Steve, et al.
Published: (2025)

Efficient Agnostic Learning with Average Smoothness
by: Hanneke, Steve, et al.
Published: (2023)

On the ERM Principle in Meta-Learning
by: Alon, Yannay, et al.
Published: (2024)

Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem
by: Fioravanti, Simone, et al.
Published: (2024)

Beyond Bandit Feedback in Online Multiclass Classification
by: van der Hoeven, Dirk, et al.
Published: (2021)

Multiclass Online Learnability under Bandit Feedback
by: Raman, Ananth, et al.
Published: (2023)

Online Learning with Improving Agents: Multiclass, Budgeted Agents and Bandit Learners
by: Ashkezari, Sajad, et al.
Published: (2026)

Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End
by: Hanneke, Steve, et al.
Published: (2026)

Sample Compression Scheme Reductions
by: Attias, Idan, et al.
Published: (2024)

Uniform Convergence Beyond Glivenko-Cantelli
by: Devale, Tanmay, et al.
Published: (2025)

List Sample Compression and Uniform Convergence
by: Hanneke, Steve, et al.
Published: (2024)

A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
by: Attias, Idan, et al.
Published: (2022)

Revisiting Agnostic PAC Learning
by: Hanneke, Steve, et al.
Published: (2024)

On the Computability of Multiclass PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2025)

Regularization and Optimal Multiclass Learning
by: Asilis, Julian, et al.
Published: (2023)

Multiclass ROC
by: Wang, Liang, et al.
Published: (2024)

Data Selection for ERMs
by: Hanneke, Steve, et al.
Published: (2025)

Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
by: Filmus, Yuval, et al.
Published: (2023)

On Union-Closedness of Language Generation
by: Hanneke, Steve, et al.
Published: (2025)

Proofs as Explanations: Short Certificates for Reliable Predictions
by: Blum, Avrim, et al.
Published: (2025)

An Optimal Sauer Lemma Over $k$-ary Alphabets
by: Hanneke, Steve, et al.
Published: (2026)