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Tag: dynamic

  • Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death

    Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death arXiv:2510.07501v1 Announce Type: new Abstract: Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential outcomes. We introduce a principal stratification-based method, focusing on the always-survivor value function. We derive a semiparametrically efficient,…

  • Dynamic Inventory Optimization with Censored Demand

    Dynamic Inventory Optimization with Censored Demand A sequential decision framework with Bayesian learning The post Dynamic Inventory Optimization with Censored Demand appeared first on Towards Data Science. Mert Ersoz Go to original source

  • Tensor State Space-based Dynamic Multilayer Network Modeling

    Tensor State Space-based Dynamic Multilayer Network Modeling arXiv:2506.02413v1 Announce Type: new Abstract: Understanding the complex interactions within dynamic multilayer networks is critical for advancements in various scientific domains. Existing models often fail to capture such networks’ temporal and cross-layer dynamics. This paper introduces a novel Tensor State Space Model for Dynamic Multilayer Networks (TSSDMN), utilizing…

  • DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information

    DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information arXiv:2505.05842v1 Announce Type: cross Abstract: Online Federated Learning (OFL) is a real-time learning paradigm that sequentially executes parameter aggregation immediately for each random arriving client. To motivate clients to participate in OFL, it is crucial to offer appropriate incentives to offset…

  • Tracking student skills real-time through a continuous-variable dynamic Bayesian network

    Tracking student skills real-time through a continuous-variable dynamic Bayesian network arXiv:2501.10050v1 Announce Type: new Abstract: The field of Knowledge Tracing is focused on predicting the success rate of a student for a given skill. Modern methods like Deep Knowledge Tracing provide accurate estimates given enough data, but being based on neural networks they struggle to…

  • Localized exploration in contextual dynamic pricing achieves dimension-free regret

    Localized exploration in contextual dynamic pricing achieves dimension-free regret arXiv:2412.19252v1 Announce Type: new Abstract: We study the problem of contextual dynamic pricing with a linear demand model. We propose a novel localized exploration-then-commit (LetC) algorithm which starts with a pure exploration stage, followed by a refinement stage that explores near the learned optimal pricing policy,…

  • Representation learning of dynamic networks

    Representation learning of dynamic networks arXiv:2412.11065v1 Announce Type: new Abstract: This study presents a novel representation learning model tailored for dynamic networks, which describes the continuously evolving relationships among individuals within a population. The problem is encapsulated in the dimension reduction topic of functional data analysis. With dynamic networks represented as matrix-valued functions, our objective…