online learning

Reinforcement Learning with Trajectory Feedback AAAI 2021 Revisiting Projection-free Online Learning: the Strongly Convex Case AISTATS 2021 Revisiting Smoothed Online Learning NeurIPS 2021 Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration AISTATS 2021 River: machine learning for streaming data in Python JMLR 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Scheduling jobs with stochastic holding costs NeurIPS 2021 Selective Sampling for Online Best-arm Identification NeurIPS 2021 Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021 Sparsity-Agnostic Lasso Bandit ICML 2021 Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox ACML 2021 SSMF: Shifting Seasonal Matrix Factorization NeurIPS 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021 Stochastic Online Optimization using Kalman Recursion JMLR 2021 Stochastic Shortest Path with Adversarially Changing Costs IJCAI 2021 Storage Fit Learning with Feature Evolvable Streams AAAI 2021 The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models JMLR 2021 The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers ICLR 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NeurIPS 2021 The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains NeurIPS 2021 The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges NAACL 2021 Thompson Sampling Algorithms for Cascading Bandits JMLR 2021 Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021 Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021