online learning

Active Exploration for Learning Symbolic Representations NeurIPS 2017 Active Learning from Peers NeurIPS 2017 Adapting Kernel Representations Online Using Submodular Maximization ICML 2017 Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP ICML 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 Affordable On-line Dialogue Policy Learning EMNLP 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017 A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds ALT 2017 A Practical Perspective on Latent Structured Prediction for Coreference Resolution EACL 2017 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 Best Response Regression NeurIPS 2017 BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Clipper: A Low-Latency Online Prediction Serving System NSDI 2017 Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 Contextual Bandits with Latent Confounders: An NMF Approach AISTATS 2017 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Diffusion Approximations for Online Principal Component Estimation and Global Convergence NeurIPS 2017 Dueling Bandits with Weak Regret ICML 2017 Dynamic Multi-View Hashing for Online Image Retrieval IJCAI 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017 Efficient Online Bandit Multiclass Learning with Õ(√T) Regret ICML 2017