Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
Fuente:
arXiv
Saved in:
| Main Authors: | Filmus, Yuval, Hanneke, Steve, Mehalel, Idan, Moran, Shay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
by: Filmus, Yuval, et al.
Published: (2024)
by: Filmus, Yuval, et al.
Published: (2024)
Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Optimal sets of questions for Twenty Questions
by: Filmus, Yuval, et al.
Published: (2021)
by: Filmus, Yuval, et al.
Published: (2021)
Optimal Reconstruction from Linear Queries
by: Filmus, Yuval, et al.
Published: (2026)
by: Filmus, Yuval, et al.
Published: (2026)
A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice
by: Chase, Zachary, et al.
Published: (2025)
by: Chase, Zachary, et al.
Published: (2025)
A Theory of Universal Agnostic Learning
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Optimal Mistake Bounds for Transductive Online Learning
by: Chase, Zachary, et al.
Published: (2025)
by: Chase, Zachary, et al.
Published: (2025)
An Optimal Sauer Lemma Over $k$-ary Alphabets
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
List Sample Compression and Uniform Convergence
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
Adversarial Resilience in Sequential Prediction via Abstention
by: Goel, Surbhi, et al.
Published: (2023)
by: Goel, Surbhi, et al.
Published: (2023)
Effective Littlestone Dimension
by: Rose, Valentino Delle, et al.
Published: (2024)
by: Rose, Valentino Delle, et al.
Published: (2024)
Adversarially Robust PAC Learnability of Real-Valued Functions
by: Attias, Idan, et al.
Published: (2022)
by: Attias, Idan, et al.
Published: (2022)
Strategic PAC Learnability via Geometric Definability
by: Filmus, Yuval, et al.
Published: (2026)
by: Filmus, Yuval, et al.
Published: (2026)
Deterministic Apple Tasting
by: Chase, Zachary, et al.
Published: (2024)
by: Chase, Zachary, et al.
Published: (2024)
Most Convolutional Networks Suffer from Small Adversarial Perturbations
by: Daniely, Amit, et al.
Published: (2026)
by: Daniely, Amit, et al.
Published: (2026)
Data Selection for ERMs
by: Hanneke, Steve, et al.
Published: (2025)
by: Hanneke, Steve, et al.
Published: (2025)
On the ERM Principle in Meta-Learning
by: Alon, Yannay, et al.
Published: (2024)
by: Alon, Yannay, et al.
Published: (2024)
Dual VC Dimension Obstructs Sample Compression by Embeddings
by: Chase, Zachary, et al.
Published: (2024)
by: Chase, Zachary, et al.
Published: (2024)
Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back
by: Cohen, Alon, et al.
Published: (2025)
by: Cohen, Alon, et al.
Published: (2025)
Private List Learnability vs. Online List Learnability
by: Hanneke, Steve, et al.
Published: (2025)
by: Hanneke, Steve, et al.
Published: (2025)
Sample Compression Scheme Reductions
by: Attias, Idan, et al.
Published: (2024)
by: Attias, Idan, et al.
Published: (2024)
Regret-Oracle Complexity Tradeoffs in Agnostic Online Learning
by: Attias, Idan, et al.
Published: (2026)
by: Attias, Idan, et al.
Published: (2026)
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
by: Attias, Idan, et al.
Published: (2022)
by: Attias, Idan, et al.
Published: (2022)
The Dimension of Self-Directed Learning
by: Devulapalli, Pramith, et al.
Published: (2024)
by: Devulapalli, Pramith, et al.
Published: (2024)
PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Online Learning of Neural Networks
by: Daniely, Amit, et al.
Published: (2025)
by: Daniely, Amit, et al.
Published: (2025)
On the Learning Curves of Revenue Maximization
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
by: Attias, Idan, et al.
Published: (2025)
by: Attias, Idan, et al.
Published: (2025)
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
by: Attias, Idan, et al.
Published: (2023)
by: Attias, Idan, et al.
Published: (2023)
Online Realizable Regression and Applications for ReLU Networks
by: Doron-Arad, Ilan, et al.
Published: (2026)
by: Doron-Arad, Ilan, et al.
Published: (2026)
A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning
by: Doron-Arad, Ilan, et al.
Published: (2026)
by: Doron-Arad, Ilan, et al.
Published: (2026)
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
by: Ahmadi, Saba, et al.
Published: (2024)
by: Ahmadi, Saba, et al.
Published: (2024)
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem
by: Fioravanti, Simone, et al.
Published: (2024)
by: Fioravanti, Simone, et al.
Published: (2024)
Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)
by: Attias, Idan, et al.
Published: (2018)
The Role of Randomness in Stability
by: Hopkins, Max, et al.
Published: (2025)
by: Hopkins, Max, et al.
Published: (2025)
Multiclass Online Learnability under Bandit Feedback
by: Raman, Ananth, et al.
Published: (2023)
by: Raman, Ananth, et al.
Published: (2023)
Private Learning of Littlestone Classes, Revisited
by: Lyu, Xin
Published: (2025)
by: Lyu, Xin
Published: (2025)
On Characterizing Learnability for Adversarial Noisy Bandits
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Universal rates of ERM for agnostic learning
by: Hanneke, Steve, et al.
Published: (2025)
by: Hanneke, Steve, et al.
Published: (2025)
Universal Multiclass Transductive Online Learning
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Similar Items
-
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
by: Filmus, Yuval, et al.
Published: (2024) -
Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End
by: Hanneke, Steve, et al.
Published: (2026) -
Optimal sets of questions for Twenty Questions
by: Filmus, Yuval, et al.
Published: (2021) -
Optimal Reconstruction from Linear Queries
by: Filmus, Yuval, et al.
Published: (2026) -
A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice
by: Chase, Zachary, et al.
Published: (2025)