Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

Distributed Entropy-Weighted Probabilistic Programming for Real-Time Crisis Zone Epidemiological Modeling Note: This README is an ultra-condensed summary of the research reports published by ...

The Department of Social Welfare and Development in Caraga Region (DSWD-13) has launched the Tara, Basa! Tutoring Program (TBTP), a flagship initiative of President Ferdinand R. Marcos Jr. aimed at ...

PROGRAM LAUNCH. Over 400 participants attend the Tara, Basa! Tutoring Program (TBTP) launch in Butuan City and Siargao Island, Surigao del Norte, on March 18, 2025. The DSWD-led initiative aims to ...

Abstract: Causal inference is an important field in data science and cognitive artificial intelligence. It requires the construction of complex probabilistic models to describe the causal ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...

HELPING READERS. A college student teaching children to read in Samar province in this undated photo. The Department of Social Welfare and Development (DSWD) regional office here is expanding the ...

A recent study published in JAMA Pediatrics, “Tenant Right-to-Counsel and Adverse Birth Outcomes in New York, New York,” demonstrates how guaranteed legal representation for tenants facing eviction ...

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This tutorial will introduce a new paradigm for agent-based models (ABMs) that leverages automatic differentiation (AD) to efficiently compute simulator gradients. In particular, this tutorial will ...