Sampling (Surrogate-Based Optimization I)

Overview of surrogate-based optimization, pitfalls of full grid search and random sampling, Latin hypercube sampling, inversion sampling, low discrepancy sequences, Halton sequence.

Regression Models (Surrogate Based Opt.)

Regression Models (Surrogate Based Opt.)

Surrogate model-based algorithms for expensive black-box optimization

Surrogate model-based algorithms for expensive black-box optimization

6. Monte Carlo Simulation

6. Monte Carlo Simulation

Traditional sampling techniques (grid vs random vs sobol vs latin hypercube)

Traditional sampling techniques (grid vs random vs sobol vs latin hypercube)

Samo 2016: Polynomial Chaos Expansions in Engineering, Bruno SUDRET

Samo 2016: Polynomial Chaos Expansions in Engineering, Bruno SUDRET

Surrogate Modeling and Active Learning for Optimization | Fireside Chat with Dr. Bobby Gramacy

Surrogate Modeling and Active Learning for Optimization | Fireside Chat with Dr. Bobby Gramacy

Comparing Bayesian optimization with traditional sampling

Comparing Bayesian optimization with traditional sampling

Bruno Sudret (ETH Zürich): Surrogate modelling approaches for stochastic simulators

Bruno Sudret (ETH Zürich): Surrogate modelling approaches for stochastic simulators

Roman Garnett - Bayesian Optimization

Roman Garnett - Bayesian Optimization

The French Do Not Care About Work

The French Do Not Care About Work

Infill (Surrogate Based Opt.)

Infill (Surrogate Based Opt.)

Mini Tutorial 6: An Introduction to Uncertainty Quantification for Modeling & Simulation

Mini Tutorial 6: An Introduction to Uncertainty Quantification for Modeling & Simulation

You've been using the Wrong Random Numbers! - Monte Carlo Simulations

You've been using the Wrong Random Numbers! - Monte Carlo Simulations

Stanford AA222/CS361 Engineering Design Optimization I Probabilistic Surrogate Optimization

Stanford AA222/CS361 Engineering Design Optimization I Probabilistic Surrogate Optimization

Reinventing Entropy | Compression is Intelligence Part 1

Reinventing Entropy | Compression is Intelligence Part 1

Gaussian Process Based Surrogate Models

Gaussian Process Based Surrogate Models

339 - Surrogate Optimization explained using simple python code

339 - Surrogate Optimization explained using simple python code

Is the Future of Linear Algebra.. Random?

Is the Future of Linear Algebra.. Random?

Solving Optimization Problems with MATLAB | Master Class with Loren Shure

Solving Optimization Problems with MATLAB | Master Class with Loren Shure