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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Online Convex Optimization in the Random Order Model ICML 2020
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks AAAI 2020
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool NIPS 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020
Spectral bandits JMLR 2020
Online learning with dynamics: A minimax perspective NIPS 2020
Adversarial Blocking Bandits NIPS 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality NIPS 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020
Robust Pricing in Dynamic Mechanism Design ICML 2020
(Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020
Online Pricing with Offline Data: Phase Transition and Inverse Square Law ICML 2020
Modelling and Solving Online Optimisation Problems AAAI 2020
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK AAAI 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes NIPS 2020
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits NIPS 2020
The Power of Predictions in Online Control NIPS 2020
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension ICML 2020
Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020
On Adaptivity in Information-Constrained Online Learning AAAI 2020
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms NIPS 2020
Synthesizing strategies under expected and exceptional environment behaviors IJCAI 2020
Locally-Adaptive Nonparametric Online Learning NIPS 2020