Assumption-lean and data-adaptive post-prediction inference

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Data-Driven Performance Guarantees for Classical and Learned Optimizers

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Bayesian Data Sketching for Varying Coefficient Regression Models

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Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

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Assumption-lean and data-adaptive post-prediction inference

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Data-Driven Performance Guarantees for Classical and Learned Optimizers

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Bayesian Data Sketching for Varying Coefficient Regression Models

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Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

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Assumption-lean and data-adaptive post-prediction inference

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Data-Driven Performance Guarantees for Classical and Learned Optimizers

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Bayesian Data Sketching for Varying Coefficient Regression Models

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Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

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Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation

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Estimation of Local Geometric Structure on Manifolds from Noisy Data

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Estimation of Local Geometric Structure on Manifolds from Noisy Data

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Estimation of Local Geometric Structure on Manifolds from Noisy Data

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Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit

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From Distributed Noisy Data to Event‐Triggered Pinning Observer‐Based Control

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Predicting COVID‐19 Mortality Risk Among Cardiovascular Disease Patients Using Artificial Intelligence Algorithms: A Retrospective Study on Clinical Data

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A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Learning from Incorrectly Labeled Data

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