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Combinatorial Bayesian Optimization with Low-Cost Approximation Functions, Linyun He
Why Data Engineering is Hard: RAM, Batch & Distributed Scale
Combinatorial Bayesian Optimisation with Applications to Antibody discovery and Logic Synthesis EDA
High dimensional gradient-augmented Bayesian optimization with adjoint solvers
Abigail Doyle, Princeton U & Jason Stevens, BMS: Bayesian Optimization for Chemical Synthesis
Roman Garnett - Bayesian Optimization
2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra
Composite Bayesian Optimization by Raul Astudillo
Bayesian Optimization for Ternary Complex Prediction - Noah Weber
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Last Updated: September 22, 2026
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Abstract: Scientists and engineers in diverse domains need to perform expensive experiments to If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ... A short and simple summary of: * Séminaire “Un(e) chercheur(-euse) du GERAD vous parle!” Why does code that runs perfectly REALML Online reading group realworldml.github.io/ Abstract: Many critical emerging real-world problems are instances of ... We combine adjoint solvers with gradient-augmented The talk by Roman Garnett at the Probabilistic Numerics Spring School 2023 in Tübingen, Title: Understanding High-Dimensional From the NSF C-CAS Training Series: Introduction to
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