Schedule

MarbleKDD 2023 will be held on August 7, and the detailed schedule is listed below. 

09:00-09:05 Opening Remark 

09:05-09:35 Invited talk: Challenges of Large-scale Bandit Applications, and How to Address Them with New Algorithms and ML Operational Excellence, by Matthias Poloczek

09:35-09:50 Risk-sensitive Reinforcement Learning under General Utility Functions, presented by Zhengqi Wu

09:50-10:05 Automated Data Denoising for Recommendation, presented by Edison Ge

10:05-10:20 Scalable Neural Contextual Bandit for Recommender Systems, presented by Bill Zhu

10:20-10:30 Break

10:30-11:00 Invited talk: Supply Chain Coordination and Contracting under Unknown Demand Distributions: Online Learning Algorithms, by Shi Chen

11:00-11:15 MESOB: Balancing Equilibria & Social Optimality, presented by Sareh Nabi 

11:15-11:30 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints, presented by Stelios Stavroulakis

11:30-11:45 A Reinforcement Learning Approach to Estimating Long-term Treatment Effects in Nonstationary Environments, presented by Ziyang Tang

11:45-12:00 Evaluating Online Bandit Exploration In Large-Scale Recommender System, presented by Hongbo Guo