online learning

Bilinear Bandits with Low-rank Structure ICML 2019 BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback UAI 2019 Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints ICML 2019 Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019 Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019 Combinatorial Bandits with Relative Feedback NeurIPS 2019 Computational Ad Hominem Detection ACL 2019 Confidence Weighted Multitask Learning AAAI 2019 Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Contextual Bandits with Cross-Learning NeurIPS 2019 Contextual Memory Trees ICML 2019 Data Poisoning Attacks on Stochastic Bandits ICML 2019 DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL ICLR 2019 Deep Reinforcement Learning via Past-Success Directed Exploration AAAI 2019 Demonstration of a Neural Machine Translation System with Online Learning for Translators ACL 2019 Dueling Bandits with Qualitative Feedback AAAI 2019 Dying Experts: Efficient Algorithms with Optimal Regret Bounds NeurIPS 2019 Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue AAAI 2019 Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019 Dynamic Local Regret for Non-convex Online Forecasting NeurIPS 2019 Dynamic Pricing in High-dimensions JMLR 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019