In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...

Abstract: Over the past few years, many researchers around the world have been keen to know the potential and efficiency of quantum computers. The researchers have focused on specific issues that ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

(09:00-10:00) Welcome & Introduction to EAR (10:00-11:30) Energy Monitoring (Basic use cases) Running CPU/GPU kernals with EAR Job energy monitoring & accounting Energy efficiency vs resource ...

Abstract: Input uncertainty in the simulation output is caused by the estimation error in the input models of the simulator due to finiteness of the data from which ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and ...