Summary of Lagrangian Index Policy For Restless Bandits with Average Reward, by Konstantin Avrachenkov et al.
Lagrangian Index Policy for Restless Bandits with Average Rewardby Konstantin Avrachenkov, Vivek S. Borkar, Pratik…
Summary of Asynchronous Distributed Gaussian Process Regression For Online Learning and Dynamical Systems: Complementary Document, by Zewen Yang et al.
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Documentby Zewen Yang,…
Summary of Doubly-bounded Queue For Constrained Online Learning: Keeping Pace with Dynamics Of Both Loss and Constraint, by Juncheng Wang et al.
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraintby…
Summary of Proactive Model Adaptation Against Concept Drift For Online Time Series Forecasting, by Lifan Zhao et al.
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecastingby Lifan Zhao, Yanyan ShenFirst…
Summary of Learning From Snapshots Of Discrete and Continuous Data Streams, by Pramith Devulapalli and Steve Hanneke
Learning from Snapshots of Discrete and Continuous Data Streamsby Pramith Devulapalli, Steve HannekeFirst submitted to…
Summary of Accurate Multi-category Student Performance Forecasting at Early Stages Of Online Education Using Neural Networks, by Naveed Ur Rehman Junejo et al.
Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networksby Naveed…
Summary of Dense Dynamics-aware Reward Synthesis: Integrating Prior Experience with Demonstrations, by Cevahir Koprulu et al.
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrationsby Cevahir Koprulu, Po-han Li, Tianyu Qiu,…
Summary of Combinatorial Rising Bandit, by Seockbean Song et al.
Combinatorial Rising Banditby Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul OkFirst submitted to…
Summary of Act Now: a Novel Online Forecasting Framework For Large-scale Streaming Data, by Daojun Liang et al.
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Databy Daojun Liang, Haixia Zhang,…
Summary of Cadam: Confidence-based Optimization For Online Learning, by Shaowen Wang et al.
CAdam: Confidence-Based Optimization for Online Learningby Shaowen Wang, Anan Liu, Jian Xiao, Huan Liu, Yuekui…