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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Online Balanced Experimental Design ICML 2022
Batched Dueling Bandits ICML 2022
Backpressure Flow Control NSDI 2022
Online Page Migration with ML Advice AISTATS 2022
Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NIPS 2022
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions NIPS 2022
Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity NIPS 2022
Parameter-free Regret in High Probability with Heavy Tails NIPS 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits AAAI 2022
Dual Active Learning for Both Model and Data Selection IJCAI 2021
Jointly Learning Prices and Product Features IJCAI 2021
Matchings with Group Fairness Constraints: Online and Offline Algorithms IJCAI 2021
On a Competitive Secretary Problem with Deferred Selections IJCAI 2021
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously ICML 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021
Pure Exploration and Regret Minimization in Matching Bandits ICML 2021
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021
A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem AAAI 2021
Coupon Design in Advertising Systems AAAI 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021
Approximation Theory Based Methods for RKHS Bandits ICML 2021
Learning Online Algorithms with Distributional Advice ICML 2021
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems ICML 2021