Amir Ajalloeian; Department of Electrical, Computer, and Energy Engineering; University of Colorado Boulder Inexact Online Proximal-gradient Method for Time-varying Convex Optimization This paper ...

Course Description This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

Separately, Databricks said it has found a new fine-tuning method that leverages Test-time Adaptive Optimization, a type of reinforcement learning that make it easier to build agents for a ...

Even without convexity, this algorithm can be generically used as an oracle-efficient optimization algorithm, with accuracy evaluated empirically. We complement our theoretical results with an ...