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Online Algorithms

2,192 papers

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Papers

Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback ALT 2021
Learning with Comparison Feedback: Online Estimation of Sample Statistics ALT 2021
Online Learning of Facility Locations ALT 2021
Non-uniform Consistency of Online Learning with Random Sampling ALT 2021
Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021
Deterministic Finite-Memory Bias Estimation COLT 2021
Online Learning from Optimal Actions COLT 2021
Majorizing Measures, Sequential Complexities, and Online Learning COLT 2021
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries COLT 2021
Black-Box Control for Linear Dynamical Systems COLT 2021
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition COLT 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications COLT 2021
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games COLT 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021
Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds COLT 2021
Double Explore-then-Commit: Asymptotic Optimality and Beyond COLT 2021
The Sparse Vector Technique, Revisited COLT 2021
Mirror Descent and the Information Ratio COLT 2021
Lazy OCO: Online Convex Optimization on a Switching Budget COLT 2021
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021
Robust Pure Exploration in Linear Bandits with Limited Budget ICML 2021
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions ICML 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
Dichotomous Optimistic Search to Quantify Human Perception ICML 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021