Online Learning

Continuous Prediction with Experts' Advice JMLR 2024 Contracting with a Learning Agent NeurIPS 2024 Decentralized Online Learning in General-Sum Stackelberg Games UAI 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Dissimilarity Bandits AISTATS 2024 Dynamic Budget Throttling in Repeated Second-Price Auctions AAAI 2024 Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NeurIPS 2024 Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments NeurIPS 2024 DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives UAI 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Eliciting Kemeny Rankings AAAI 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration AAAI 2024 Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework UAI 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Fairness-Aware Online Positive-Unlabeled Learning EMNLP 2024 Fair Online Bilateral Trade NeurIPS 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 Faster Recalibration of an Online Predictor via Approachability AISTATS 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NeurIPS 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Forced Exploration in Bandit Problems AAAI 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024