Summary of Contractual Reinforcement Learning: Pulling Arms with Invisible Hands, by Jibang Wu et al.
Contractual Reinforcement Learning: Pulling Arms with Invisible Handsby Jibang Wu, Siyu Chen, Mengdi Wang, Huazheng…
Summary of Learnability in Online Kernel Selection with Memory Constraint Via Data-dependent Regret Analysis, by Junfan Li et al.
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysisby Junfan Li, Shizhong…
Summary of Stochastic Zeroth-order Optimization Under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity, by Qian Yu et al.
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexityby Qian Yu, Yining…
Summary of Jump Starting Bandits with Llm-generated Prior Knowledge, by Parand A. Alamdari et al.
Jump Starting Bandits with LLM-Generated Prior Knowledgeby Parand A. Alamdari, Yanshuai Cao, Kevin H. WilsonFirst…
Summary of Qbi: Quantile-based Bias Initialization For Efficient Private Data Reconstruction in Federated Learning, by Micha V. Nowak et al.
QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learningby Micha V. Nowak,…
Summary of Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: a Two-phase Deep Reinforcement Learning Approach, by Xiaojing Chen et al.
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement…
Summary of Learning to Cover: Online Learning and Optimization with Irreversible Decisions, by Alexandre Jacquillat et al.
Learning to Cover: Online Learning and Optimization with Irreversible Decisionsby Alexandre Jacquillat, Michael Lingzhi LiFirst…
Summary of On Rough Mereology and Vc-dimension in Treatment Of Decision Prediction For Open World Decision Systems, by Lech T. Polkowski
On rough mereology and VC-dimension in treatment of decision prediction for open world decision systemsby…
Summary of Generalization Bounds For Mixing Processes Via Delayed Online-to-pac Conversions, by Baptiste Abeles et al.
Generalization bounds for mixing processes via delayed online-to-PAC conversionsby Baptiste Abeles, Eugenio Clerico, Gergely NeuFirst…
Summary of Structured Prediction in Online Learning, by Pierre Boudart (di-ens et al.
Structured Prediction in Online Learningby Pierre Boudart, Alessandro Rudi, Pierre GaillardFirst submitted to arxiv on:…