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cs.LG2026
VBO-MI: A Differentiable Black-Box Optimization Framework via Variational Mutual Information Estimation
Farhad Mirkarimi
Many real-world tasks require optimizing expensive black-box functions accessible only through noisy evaluations, a setting commonly addressed with Bayesian optimization. While Gau…
cs.LG2026
Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information
Farhad Mirkarimi
Bayesian optimization (BO) of expensive black-box functions is traditionally addressed with Gaussian processes (GPs), which scale cubically with observations, or Bayesian neural ne…