Co-occurring keywords · papers mentioning both
Papers
Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs
COLT 2026
Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Chasing Convex Functions with Long-term Constraints
ICML 2024
A Bayesian approach for bandit online optimization with switching cost
UAI 2023
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
IJCAI 2023
Near-Optimal Adversarial Reinforcement Learning with Switching Costs
ICLR 2023
Non-stationary Online Learning with Memory and Non-stochastic Control
JMLR 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
NeurIPS 2023
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
AAAI 2023
Understanding the Role of Feedback in Online Learning with Switching Costs
ICML 2023
Better Best of Both Worlds Bounds for Bandits with Switching Costs
NeurIPS 2022
Non-stationary Online Learning with Memory and Non-stochastic Control
AISTATS 2022
Optimal Comparator Adaptive Online Learning with Switching Cost
NeurIPS 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
ICML 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
NeurIPS 2022
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
ICML 2021
Bayesian optimization for modular black-box systems with switching costs
UAI 2021
Combinatorial semi-bandit in the non-stationary environment
UAI 2021
Online Convex Optimization with Continuous Switching Constraint
NeurIPS 2021
Revisiting Smoothed Online Learning
NeurIPS 2021
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
NeurIPS 2020
Multinomial Logit Bandit with Low Switching Cost
ICML 2020
Online Optimization with Memory and Competitive Control
NeurIPS 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
NeurIPS 2020
Stochastic Bandits with Delay-Dependent Payoffs
AISTATS 2020