online learning

Efficient Online Linear Optimization with Approximation Algorithms NeurIPS 2017 Efficient Online Multiclass Prediction on Graphs via Surrogate Losses AISTATS 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation NeurIPS 2017 Emulating the Expert: Inverse Optimization through Online Learning ICML 2017 Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NeurIPS 2017 Fast rates for online learning in Linearly Solvable Markov Decision Processes COLT 2017 Fast rates with high probability in exp-concave statistical learning AISTATS 2017 Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection CoRL 2017 Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017 Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities JMLR 2017 Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017 Follow the Moving Leader in Deep Learning ICML 2017 Gradient Boosting on Stochastic Data Streams AISTATS 2017 Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017 Lazifying Conditional Gradient Algorithms ICML 2017 Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017 Learning Infinite Layer Networks Without the Kernel Trick ICML 2017 Learning Linear Dynamical Systems via Spectral Filtering NeurIPS 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning Theory for Conditional Risk Minimization AISTATS 2017 Learning Video Object Segmentation From Static Images CVPR 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017