ABSTRACT: Piyavskii’s algorithm maximizes a univariate function satisfying a Lipschitz condition. We propose a modified Piyavskii’s sequential algorithm which maximizes a univariate differentiable ...
Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...
Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...
Abstract: Gradient-based Bi-Level Optimization (BLO) methods have been widely applied to handle modern learning tasks. However, most existing strategies are theoretically designed based on restrictive ...
Abstract: Today, LLMs are everywhere. It is making human internet life a lot easier than ever. Every day new sophisticated models are released. But these models are not good enough to become personal ...
Objective: The objective of our study was to develop and evaluate evidence-based adaptive intervention strategies for optimizing cognitive function among older adults with MCI using a Sequential ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
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