conftrace_
← Optimization
Mathematics & Optimization › Optimization ›

Online Algorithms

2,192 papers

Papers per year

1
16
59
225
69
'05
'10
'15
'20
'25

Papers

Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading AAAI 2020
Hypothetical Answers to Continuous Queries over Data Streams AAAI 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020
Fatigue-Aware Bandits for Dependent Click Models AAAI 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020
Improved Algorithms for Conservative Exploration in Bandits AAAI 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack AAAI 2020
Bounding Regret in Empirical Games AAAI 2020
Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020
Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020
Projective Quadratic Regression for Online Learning AAAI 2020
On Adaptivity in Information-Constrained Online Learning AAAI 2020
Linear Bandits with Feature Feedback AAAI 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Revisiting Online Quantum State Learning AAAI 2020
Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020
Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory AAAI 2020
Safe Linear Stochastic Bandits AAAI 2020