online learning

A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020 AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization CVPR 2020 Bandit Convex Optimization in Non-stationary Environments AISTATS 2020 Bandit Linear Control NeurIPS 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020 Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits UAI 2020 Budgeted Online Influence Maximization ICML 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 Comparator-Adaptive Convex Bandits NeurIPS 2020 Contextual Games: Multi-Agent Learning with Side Information NeurIPS 2020 Contextual Online False Discovery Rate Control AISTATS 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data ICLR 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Delay and Cooperation in Nonstochastic Linear Bandits NeurIPS 2020 Derivative-Free & Order-Robust Optimisation AISTATS 2020 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach ICML 2020 Discriminative and Robust Online Learning for Siamese Visual Tracking AAAI 2020 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020 Efficient Contextual Bandits with Continuous Actions NeurIPS 2020 Efficient improper learning for online logistic regression COLT 2020 Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NeurIPS 2020 Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability AISTATS 2020