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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Reconnecting Indigenous Data to Country

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New markers and linkage data

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Understanding ethics and agency in data-driven decision-making. A literature review

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Benchmarking Analysis of scHi-C Data Imputation Methods

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Outlier Detection in CPI Data Using Machine Learning Algorithms

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Design and Evaluation of an Integrated BI Solution with Centralized Data Architecture

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Beyond High-Confidence Sampling: Boosting Data Utilization and Model Calibration in Semi-Supervised Learning

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An approach to Data Literacy through a Personalized Interactive LGPD Guide using LLM for Educators

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