online learning

Gated Linear Networks AAAI 2021 Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021 Heuristic-Guided Reinforcement Learning NeurIPS 2021 Hierarchical Object-to-Zone Graph for Object Navigation ICCV 2021 Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions L4DC 2021 Improved Regret Bounds for Tracking Experts with Memory NeurIPS 2021 Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021 Individual Fairness in Hindsight JMLR 2021 Jointly Learning Prices and Product Features IJCAI 2021 Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021 Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021 Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021 Learner-Private Convex Optimization ICML 2021 Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021 Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds NeurIPS 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning-to-learn non-convex piecewise-Lipschitz functions NeurIPS 2021 Learning to Price Against a Moving Target ICML 2021 Learning User Preferences in Non-Stationary Environments AISTATS 2021 Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes JMLR 2021 Lenient Regret for Multi-Armed Bandits AAAI 2021 Lifelong Learning with Branching Experts ACML 2021 Linear Bandits on Uniformly Convex Sets JMLR 2021