Online Learning

Dynamic Pricing in High-dimensions JMLR 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 Efficient online learning with kernels for adversarial large scale problems NeurIPS 2019 Equal Opportunity in Online Classification with Partial Feedback NeurIPS 2019 Improved Algorithm on Online Clustering of Bandits IJCAI 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Large Scale Markov Decision Processes with Changing Rewards NeurIPS 2019 Learning in Generalized Linear Contextual Bandits with Stochastic Delays NeurIPS 2019 Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning COLT 2019 Logarithmic Regret for Online Control NeurIPS 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Monotone Learning with Rectified Wire Networks JMLR 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019 Online Algorithms for Rent-Or-Buy with Expert Advice ICML 2019 Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback NeurIPS 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online Forecasting of Total-Variation-bounded Sequences NeurIPS 2019 Online High Rank Matrix Completion CVPR 2019 Online Learning from Data Streams with Varying Feature Spaces AAAI 2019 Online Learning via the Differential Privacy Lens NeurIPS 2019