Tag: heterogeneous
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Learning Multi-type heterogeneous interacting particle systems
Learning Multi-type heterogeneous interacting particle systems arXiv:2602.03954v1 Announce Type: new Abstract: We propose a framework for the joint inference of network topology, multi-type interaction kernels, and latent type assignments in heterogeneous interacting particle systems from multi-trajectory data. This learning task is a challenging non-convex mixed-integer optimization problem, which we address through a novel three-stage approach.…
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Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data
Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data arXiv:2511.10919v1 Announce Type: new Abstract: Positive-Unlabeled (PU) learning presents unique challenges due to the lack of explicitly labeled negative samples, particularly in high-stakes domains such as fraud detection and medical diagnosis. To address data scarcity and privacy constraints, we propose a novel transfer learning with…
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High-Probability Bounds For Heterogeneous Local Differential Privacy
High-Probability Bounds For Heterogeneous Local Differential Privacy arXiv:2510.11895v1 Announce Type: new Abstract: We study statistical estimation under local differential privacy (LDP) when users may hold heterogeneous privacy levels and accuracy must be guaranteed with high probability. Departing from the common in-expectation analyses, and for one-dimensional and multi-dimensional mean estimation problems, we develop finite sample upper…