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Bayesian Optimization (Bayes Opt): Easy explanation of popular hyperparameter tuning method
Pre-trained Ensembles for Bayesian Optimization of Protein Sequences | Ziyue Yang
[AUTOML24] Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Spaces
Abigail Doyle, Princeton U & Jason Stevens, BMS: Bayesian Optimization for Chemical Synthesis
Coding Bayesian Optimization (Bayes Opt) with BOTORCH - Python example for hyperparameter tuning
Bayesian Optimization for Ternary Complex Prediction - Noah Weber
NIPS 2016 Workshop on Nonconvex Optimization: Ryan Adams (Structure in Bayesian Optimization)
Techniques for combinatorial optimization: Spectral Graph Theory and Semidefinite Programming
Bayesian Optimization of High-Speed Channel for Signal Integrity Analysis
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces, S. Daulton, et al
[AutoMLConf'22]: Are we forgetting about compositional optimisers in Bayesian optimisation
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Last Updated: October 14, 2026
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Abstract: Scientists and engineers in diverse domains need to perform expensive experiments to optimize If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ... A short and simple summary of: * by Swaraj Vatsa for ANC Journal Club. The Paper can be read here: jmlr.org/papers/volume22/20-1422/20-1422.pdf.
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