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Graph Machine Learning for Asset Pricing: Traversing the Supply Chain & Factor Zoo | Luohan Webinar
Plasmo.jl and MadNLP.jl-A Framework for Graph-Based Optimization | Cole, Zavala | JuliaCon 2023
Introduction to Decision-Making under Uncertainty
Zavala Lab Tour
Hierarchical Graph Representation Learning with Louka's Coarsening
Mathematical Principles of Machine Learning
Combining ML and Operations Research to solve large-scale supply chain - Cosmo Valentino, Cargoful
Chordal Decomposition for Spectral Coarsening (SIGGRAPH Asia 2020)
Graphical Models in Heavy-tailed Markets by Jose Vinicius de M. Cardoso
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Last Updated: September 6, 2026
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Part of Discrete Optimization Talks: talks.discreteopt.com Dr. Paulson's repository: github.com/joelpaulson/nsPCE Dr. Paulson's contact: joel.a.paulson Dr. We discuss how emerging trends in computing are pushing traditionally-passive devices to perform higher level functions such ... This talk discusses an electricity market clearing formulation that seeks to remunerate spatio-temporal, load-shifting flexibility ... On Apr.1st, Tuesday, Professor Agostino Capponi from Industrial Engineering and Operations Research at Columbia University, ... For more info on the Julia Programming Language, us on Twitter: twitter.com/JuliaLanguage and consider ... Taller Introduction to Decision-Making under Uncertainty impartida por el Dr. This event is part of a series of talks organized by Machine Learning Milan and was recorded during the following event: ... SIGGRAPH Asia 2020 Technical Paper Talk for the paper "Chordal Decomposition for Spectral Promotional video for NeurIPS 2021 paper "Graphical
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