Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning - 12th Dec 2016 (bayopt).pdf A Versatile Graph ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

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A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Current Position: Fredkin Professor of Computer Science.

Serial Productions makes narrative podcasts whose quality and innovation transformed the medium. “Serial” began in 2014 as a spinoff of the public radio show “This American Life.” In 2020, we joined ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

To participate, submit your response here by July 10 at 9 a.m. Eastern. This week’s winners will be announced by July 22. By The Learning Network Heeva Alavi, an Iranian-American, writes about her ...

Meta’s AI chief says new Muse Spark update will sharpen coding, agentic AI Alexandr Wang said the upcoming Muse Spark update will significantly improve coding and agentic capabilities, while analysts ...

Ronald de Wolf (1973) studied computer science and philosophy at the Erasmus University Rotterdam, with a focus on logic-based machine learning. He obtained his PhD in 2001 from the University of ...