Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Attias, Idan, Hanneke, Steve, Ramaswami, Arvind |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Regret-Oracle Complexity Tradeoffs in Agnostic Online Learning
by: Attias, Idan, et al.
Published: (2026)
by: Attias, Idan, et al.
Published: (2026)
Transductive and Learning-Augmented Online Regression
by: Raman, Vinod, et al.
Published: (2025)
by: Raman, Vinod, 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)
Learning-Augmented Algorithms for Boolean Satisfiability
by: Attias, Idan, et al.
Published: (2025)
by: Attias, Idan, et al.
Published: (2025)
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
by: Ghuge, Rohan, et al.
Published: (2025)
by: Ghuge, Rohan, et al.
Published: (2025)
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)
Sample Compression Scheme Reductions
by: Attias, Idan, et al.
Published: (2024)
by: Attias, Idan, 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)
Revisiting Agnostic PAC Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
Mistake-Bounded Language Generation
by: Kleinberg, Jon, et al.
Published: (2026)
by: Kleinberg, Jon, et al.
Published: (2026)
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 in the Random Order Model
by: Bernasconi, Martino, et al.
Published: (2025)
by: Bernasconi, Martino, et al.
Published: (2025)
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
by: Esposito, Emmanuel, et al.
Published: (2022)
by: Esposito, Emmanuel, et al.
Published: (2022)
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
by: Balcan, Maria-Florina, et al.
Published: (2022)
by: Balcan, Maria-Florina, et al.
Published: (2022)
Parsimonious Learning-Augmented Online Metric Matching
by: Shin, Yongho, et al.
Published: (2026)
by: Shin, Yongho, et al.
Published: (2026)
Learning-Augmented Online Scheduling with Parsimonious Preemption
by: Blue, Mugen, et al.
Published: (2026)
by: Blue, Mugen, et al.
Published: (2026)
Learning-Augmented Algorithms for $k$-median via Online Learning
by: Hebbar, Anish, et al.
Published: (2026)
by: Hebbar, Anish, et al.
Published: (2026)
Online Learning with Limited Information in the Sliding Window Model
by: Braverman, Vladimir, et al.
Published: (2026)
by: Braverman, Vladimir, et al.
Published: (2026)
Online Classification with Predictions
by: Raman, Vinod, et al.
Published: (2024)
by: Raman, Vinod, et al.
Published: (2024)
Is Transductive Learning Equivalent to PAC Learning?
by: Dughmi, Shaddin, et al.
Published: (2024)
by: Dughmi, Shaddin, et al.
Published: (2024)
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
by: Lechowicz, Adam, et al.
Published: (2023)
by: Lechowicz, Adam, et al.
Published: (2023)
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
by: John, Philips George, et al.
Published: (2024)
by: John, Philips George, et al.
Published: (2024)
Online Prediction with Limited Selectivity
by: Liu, Licheng, et al.
Published: (2025)
by: Liu, Licheng, et al.
Published: (2025)
Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model
by: Burathep, Kunanon, et al.
Published: (2025)
by: Burathep, Kunanon, et al.
Published: (2025)
Sample-Adaptivity Tradeoff in On-Demand Sampling
by: Haghtalab, Nika, et al.
Published: (2025)
by: Haghtalab, Nika, et al.
Published: (2025)
Learning-augmented Online Algorithm for Two-level Ski-rental Problem
by: Zhang, Keyuan, et al.
Published: (2024)
by: Zhang, Keyuan, et al.
Published: (2024)
Fixed Point Computation: Beating Brute Force with Smoothed Analysis
by: Attias, Idan, et al.
Published: (2025)
by: Attias, Idan, et al.
Published: (2025)
Online Two-Stage Submodular Maximization
by: Nikolaou, Iasonas, et al.
Published: (2025)
by: Nikolaou, Iasonas, et al.
Published: (2025)
Online Weighted Paging with Unknown Weights
by: Levy, Orin, et al.
Published: (2024)
by: Levy, Orin, et al.
Published: (2024)
Online Algorithms with Limited Data Retention
by: Immorlica, Nicole, et al.
Published: (2024)
by: Immorlica, Nicole, et al.
Published: (2024)
Online Algorithms with Uncertainty-Quantified Predictions
by: Sun, Bo, et al.
Published: (2023)
by: Sun, Bo, et al.
Published: (2023)
Connectivity Oracles for Predictable Vertex Failures
by: Hu, Bingbing, et al.
Published: (2023)
by: Hu, Bingbing, et al.
Published: (2023)
Path-Reporting Distance Oracles with Linear Size
by: Neiman, Ofer, et al.
Published: (2024)
by: Neiman, Ofer, et al.
Published: (2024)
On the Learning Curves of Revenue Maximization
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Online Sparsification of Bipartite-Like Clusters in Graphs
by: Das, Joyentanuj, et al.
Published: (2025)
by: Das, Joyentanuj, et al.
Published: (2025)
Improving Online Algorithms via ML Predictions
by: Kumar, Ravi, et al.
Published: (2024)
by: Kumar, Ravi, et al.
Published: (2024)
Improved Bounds for Online Facility Location with Predictions
by: Fotakis, Dimitris, et al.
Published: (2021)
by: Fotakis, Dimitris, et al.
Published: (2021)
Query-Efficient Correlation Clustering with Noisy Oracle
by: Kuroki, Yuko, et al.
Published: (2024)
by: Kuroki, Yuko, et al.
Published: (2024)
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification
by: Rohatgi, Dhruv, et al.
Published: (2025)
by: Rohatgi, Dhruv, et al.
Published: (2025)
Optimal Approximation -- Smoothness Tradeoffs for Soft-Max Functions
by: Epasto, Alessandro, et al.
Published: (2020)
by: Epasto, Alessandro, et al.
Published: (2020)
Similar Items
-
Regret-Oracle Complexity Tradeoffs in Agnostic Online Learning
by: Attias, Idan, et al.
Published: (2026) -
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) -
Learning-Augmented Algorithms for Boolean Satisfiability
by: Attias, Idan, et al.
Published: (2025) -
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
by: Ghuge, Rohan, et al.
Published: (2025)