ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimiza...
Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce et al.
Action editor: Binhang Yuan
https://openreview.net/forum?id=0Euvm9zDpu
#mixture #mixtures #bayesopt
Congrats to Carlos for getting his paper accepted at JCTC @pubs.acs.org
#compchem #bayesopt
arxiv.org/abs/2506.22533
LLM-Driven Bayesian Optimization Boosts Prompt Engineering
Researchers merged LLMs with Bayesian Optimization to tune prompts, achieving higher accuracy on text classification tasks while cutting API calls, using an LLM‑powered Process with UCB. Read more: getnews.me/llm-driven-bayesian-opti... #bayesopt #prompt
BONSAI Boosts Robust Bayesian Optimization for Complex Systems
BONSAI, a Bayesian optimization framework that models systems as whitebox and black‑box components, achieved higher robustness. Paper: DOI 10.48550/arXiv.2510.03893. Read more: getnews.me/bonsai-boosts-robust-bay... #bayesopt #robust
New View Planning Framework Boosts 3D Reconstruction in Agriculture
BOSfM uses Bayesian optimisation to pick camera spots, reducing required images while keeping 3‑D reconstruction accuracy, shown in tests on simulated and real farms (28 Sept 2025). Read more: getnews.me/new-view-planning-framew... #bayesopt #agri
Cost‑Aware Batch Bayesian Optimization with Deep Gaussian Processes
Researchers introduced a batch Bayesian optimizer with Gaussian process surrogates that cut budget while designing refractory high‑entropy alloys. It proposes batches for testing. Read more: getnews.me/cost-aware-batch-bayesia... #bayesopt #materials
I will be at #NeurIPS next week, presenting work on Bayesian Optimization over curried functions at the AI4Mat workshop. We use it to identify general reaction conditions (see below)
If you are around and interested in talking #BayesOpt or #AI4Science, let’s meet
