Online Learning

Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020 Exploiting the Surrogate Gap in Online Multiclass Classification NeurIPS 2020 Exploration by Optimisation in Partial Monitoring COLT 2020 Faster Projection-free Online Learning COLT 2020 Fast Rates for Online Prediction with Abstention COLT 2020 Fatigue-Aware Bandits for Dependent Click Models AAAI 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 Frame-Wise Online Unsupervised Adaptation of DNN-HMM Acoustic Model from Perspective of Robust Adaptive Filtering Interspeech 2020 From Finite to Countable-Armed Bandits NeurIPS 2020 Gaussian Gated Linear Networks NeurIPS 2020 Geometric Exploration for Online Control NeurIPS 2020 Group-Fair Online Allocation in Continuous Time NeurIPS 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020 Improper Learning for Non-Stochastic Control COLT 2020 Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020 Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020 Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations AAAI 2020 Incremental Learning in Online Scenario CVPR 2020 Latent Bandits Revisited NeurIPS 2020 Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect UAI 2020 Learning to Guide Random Search ICLR 2020 Learning to Play Sequential Games versus Unknown Opponents NeurIPS 2020 Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract) IJCAI 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020