A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.
From playlist Optimization
13_2 Optimization with Constraints
Here we use optimization with constraints put on a function whose minima or maxima we are seeking. This has practical value as can be seen by the examples used.
From playlist Advanced Calculus / Multivariable Calculus
Intro Into Multi Objective Optimization
Multi-objective optimization (also known as multi-objective programming, vector optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective func
From playlist Software Development
13_1 An Introduction to Optimization in Multivariable Functions
Optimization in multivariable functions: the calculation of critical points and identifying them as local or global extrema (minima or maxima).
From playlist Advanced Calculus / Multivariable Calculus
What in the world is a linear program?
What is a linear program and why do we care? Today I’m going to introduce you to the exciting world of optimization, which is the mathematical field of maximizing or minimizing an objective function subject to constraints. The most fundamental topic in optimization is linear programming,
From playlist Summer of Math Exposition 2 videos
Solve a System of Equations Using Elimination with Fractions
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Hard
Calculus: Optimization Problems
In this video, I discuss optimization problems. I give an outline for how to approach these kinds of problems and worth through a couple of examples.
From playlist Calculus
Using Multipliers to Solve a System of Equations Using Elimination
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Hard
How to Solve a System of Equations Using Elimination
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Medium
From playlist COMP0168 (2020/21)
ML Tutorial: Bayesian Optimization (Cedric Archambeau)
Machine Learning Tutorial at Imperial College London: Bayesian Optimization Cedric Archambeau (Amazon) November 8, 2017
From playlist Machine Learning Tutorials
"Diffusion Approximation and Sequential Experimentation" by Victor Araman
We consider a Bayesian sequential experimentation problem. We identify environments in which the average number of experiments that is conducted per unit of time is large and the informativeness of each individual experiment is low. Under such regimes, we derive a diffusion approximation f
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management​
Scalable hyperparameter transfer learning - Perrone - Workshop 3 - CEB T1 2019
Valerio Perrone (Amazon) / 01.04.2019 Scalable hyperparameter transfer learning. Bayesian optimization (BO) is a model-based approach for gradient-free black-box function optimization, such as hyperparameter optimization. Typically, BO relies on conventional Gaussian process (GP) regres
From playlist 2019 - T1 - The Mathematics of Imaging
Lecture 02: Markov Decision Processes
Second lecture on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files are available here: https://github.com/upb-lea/reinforcement_learning_course_materials
From playlist Reinforcement Learning Course: Lectures (Summer 2020)
Machine Learning Summer School 2014 in Pittsburgh http://www.mlss2014.com See the website for more videos and slides. Nando de Freitas Lecture 1
From playlist Talks and tutorials
Stanford CS330: Deep Multi-task and Meta Learning | 2020 | Lecture 4 - Optimization Meta-Learning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.
From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Recorded 28 February 2023. Segev Wasserkug of IBM Research, Israel, presents "Democratizing Optimization Modeling: Status, Challenges, and Future Directions" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Note: IBM does not endorse any third parties referenced in the
From playlist 2023 Artificial Intelligence and Discrete Optimization
Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
Here we introduce dynamic programming, which is a cornerstone of model-based reinforcement learning. We demonstrate dynamic programming for policy iteration and value iteration, leading to the quality function and Q-learning. This is a lecture in a series on reinforcement learning, follo
From playlist Reinforcement Learning
Fifteenth SIAM Activity Group on FME Virtual Talk
Date: Thursday, December 10, 1PM-2PM Early Career Talks Speaker 1: Dena Firoozi, HEC Montréal - University of Montreal Title: Belief Estimation by Agents in Major-Minor LQG Mean Field Games Speaker 2: Sveinn Olafsson, Columbia University Title: Personalized Robo-Advising: Enhancing Inves
From playlist SIAM Activity Group on FME Virtual Talk Series
Mean Solution - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms