Co-occurring keywords · papers mentioning both
Papers
Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader
COLT 2026
A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice
COLT 2026
Budgeted Online Active Learning with Expert Advice and Episodic Priors
AAAI 2026
Expert Advice with Costly Observations
UAI 2026
Online Covering with Multiple Experts
ALT 2026
Deterministic Apple Tasting
COLT 2025
Faster Rates for Private Adversarial Bandits
ICML 2025
Optimal Bounds for Dissatisfaction in Perpetual Voting
AAAI 2025
Tracking The Best Expert Privately
ICML 2025
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
NeurIPS 2024
Bandits with Abstention under Expert Advice
NeurIPS 2024
Continuous Prediction with Experts' Advice
JMLR 2024
Expert with clustering: Hierarchical online preference learning framework
L4DC 2024
On Interpolating Experts and Multi-Armed Bandits
ICML 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
NeurIPS 2024
Universal Online Convex Optimization with $1$ Projection per Round
NeurIPS 2024
Adaptive Selective Sampling for Online Prediction with Experts
NeurIPS 2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
ACL 2023
No-Regret Online Prediction with Strategic Experts
NeurIPS 2023
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
COLT 2023
ActiveHedge: Hedge meets Active Learning
ICML 2022
A Regret-Variance Trade-Off in Online Learning
NeurIPS 2022
Efficient and Optimal Fixed-Time Regret with Two Experts
ALT 2022
k-experts - Online Policies and Fundamental Limits
AISTATS 2022
Learning what to remember
ALT 2022