Online Algorithms
2,404 papers
Papers per year
2
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1
6
6
10
14
16
36
31
45
48
59
77
91
126
183
229
283
280
341
301
182
36
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Papers
Open Problem: Fast and Optimal Online Portfolio Selection
COLT 2020
Open Problem: Model Selection for Contextual Bandits
COLT 2020
Optimal Algorithms for Multiplayer Multi-Armed Bandits
AISTATS 2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
NeurIPS 2020
Optimal Best-arm Identification in Linear Bandits
NeurIPS 2020
Optimal Margin Distribution Learning in Dynamic Environments
AAAI 2020
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
ICML 2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
NeurIPS 2020
Optimal Sequential Maximization: One Interview is Enough!
ICML 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
AAAI 2020
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek
AAAI 2020
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks
AAAI 2020
Planning with General Objective Functions: Going Beyond Total Rewards
NeurIPS 2020
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
AAAI 2020
Prediction with Corrupted Expert Advice
NeurIPS 2020
Preselection Bandits
ICML 2020
Projection-free Distributed Online Convex Optimization with O(√T) Communication Complexity
ICML 2020
Projective Quadratic Regression for Online Learning
AAAI 2020
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best
AISTATS 2020
Randomized Exploration in Generalized Linear Bandits
AISTATS 2020
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
IJCAI 2020
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
NeurIPS 2020
Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory
AAAI 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
ICML 2020
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
NeurIPS 2020