Co-occurring keywords · papers mentioning both
Papers
Simple and Optimal Greedy Online Contention Resolution Schemes
NeurIPS 2022
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints
L4DC 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication
AISTATS 2022
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
ICML 2022
The Secretary Problem with Competing Employers on Random Edge Arrivals
AAAI 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits
ICML 2022
Universal and Tight Online Algorithms for Generalized-Mean Welfare
AAAI 2022
Adaptive Discretization for Adversarial Lipschitz Bandits
COLT 2021
A Gang of Adversarial Bandits
NeurIPS 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
NeurIPS 2021
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
AISTATS 2021
A Regression Approach to Learning-Augmented Online Algorithms
NeurIPS 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
ICML 2021
Bandit Learning with Delayed Impact of Actions
NeurIPS 2021
Bandits with Knapsacks beyond the Worst Case
NeurIPS 2021
Black-Box Control for Linear Dynamical Systems
COLT 2021
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
AAAI 2021
Competitive Analysis for Two-Level Ski-Rental Problem
AAAI 2021
Consistent k-Median: Simpler, Better and Robust
AISTATS 2021
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
AAAI 2021
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
AAAI 2021
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
Dynamic Tensor Rematerialization
ICLR 2021
Efficient Algorithms for Stochastic Repeated Second-price Auctions
ALT 2021
Fair and Efficient Online Allocations with Normalized Valuations
AAAI 2021