online learning

Competing Bandits in Time Varying Matching Markets L4DC 2023 Conformal PID Control for Time Series Prediction NeurIPS 2023 Context-lumpable stochastic bandits NeurIPS 2023 Contextual Conservative Interleaving Bandits ICML 2023 Continual Graph Convolutional Network for Text Classification AAAI 2023 Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets ICML 2023 Dealing With Cross-Task Class Discrimination in Online Continual Learning CVPR 2023 Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games ICLR 2023 Detection Recovery in Online Multi-Object Tracking With Sparse Graph Tracker WACV 2023 Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023 Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform ACL 2023 Doubly Fair Dynamic Pricing AISTATS 2023 Doubly Optimal No-Regret Learning in Monotone Games ICML 2023 Dynamically Masked Discriminator for GANs NeurIPS 2023 Dynamic Pricing with Volume Discounts in Online Settings AAAI 2023 EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023 Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NeurIPS 2023 Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NeurIPS 2023 Efficiently learning the graph for semi-supervised learning UAI 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only ACL 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Federated Online and Bandit Convex Optimization ICML 2023