botorch
PulseAugur coverage of botorch — every cluster mentioning botorch across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New nonlinear dimensionality reduction techniques enhance Bayesian optimization
Researchers have developed new nonlinear dimensionality reduction techniques for Bayesian optimization, a method used for efficient global optimization of expensive black-box functions. The proposed approach, SDR-LSBO, …
-
New SpotOptim Python package released for black-box function optimization
The SpotOptim Python package has been released, offering a framework for optimizing expensive black-box functions. It utilizes a Kriging-based approach with Expected Improvement and supports various variable types, nois…
-
New agentic Bayesian optimization uses LLMs as central decision-makers
Researchers have introduced a new paradigm called agentic Bayesian optimization (BO), which integrates large language models (LLMs) as central decision-makers within the BO loop. This approach leverages a Bayesian backe…
-
New tidyHEBO model enhances Bayesian optimization for scientific experiments
Researchers have introduced tidyHEBO, an enhanced Bayesian optimization model designed for efficient experimentation in fields like chemistry and materials science. This new model builds upon the HEBO framework, refinin…