Online Learning

Linear Bandits with Feature Feedback AAAI 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020 Making Non-Stochastic Control (Almost) as Easy as Stochastic NeurIPS 2020 Memoryless Sequences for General Losses JMLR 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Modelling and Solving Online Optimisation Problems AAAI 2020 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 New Potential-Based Bounds for Prediction with Expert Advice COLT 2020 Nonparametric Sequential Prediction While Deep Learning the Kernel AISTATS 2020 No-Regret Prediction in Marginally Stable Systems COLT 2020 OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting AAAI 2020 On Adaptivity in Information-Constrained Online Learning AAAI 2020 Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NeurIPS 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Online Data Poisoning Attacks L4DC 2020 Online Hashing with Efficient Updating of Binary Codes AAAI 2020 Online Learning in Changing Environments IJCAI 2020 Online learning with dynamics: A minimax perspective NeurIPS 2020 Online Learning with Vector Costs and Bandits with Knapsacks COLT 2020 Online Linear Optimization with Many Hints NeurIPS 2020 Online Metric Learning for Multi-Label Classification AAAI 2020 Online Multitask Learning with Long-Term Memory NeurIPS 2020 Online Non-Convex Optimization with Imperfect Feedback NeurIPS 2020 Online Positive and Unlabeled Learning IJCAI 2020