In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
Unit 5 - pareto optimal allocations part 3
From playlist Courses and Series
(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
Unit 5 - practice problem 1 question
From playlist Courses and Series
From playlist Decision Support Systems
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
Life constantly forces us to make very big and often very painful decisions. When we are next facing such a choice, here is a small exercise that could help us to know our own minds more clearly. For gifts and more from The School of Life, visit our online shop: https://goo.gl/at6c4Y Join
From playlist SELF
Decision Problems - 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
Critical Thinking: Navigating Today's Health Crazes
In this video, you’ll learn how critical thinking can help you evaluate health fads. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ to learn even more. We hope you enjoy!
From playlist Critical Thinking
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Recorded 28 February 2023. Priya Donti of Cornell University presents "Optimization-in-the-loop AI for energy and climate" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Addressing climate change will require concerted action across society, including the d
From playlist 2023 Artificial Intelligence and Discrete Optimization
“Choice Modeling and Assortment Optimization” - Session I - Prof. Huseyin Topaloglu
This module overviews static and dynamic assortment optimization problems. We start with an introduction to discrete choice modeling and discuss estimation issues when fitting a choice model to observed sales histories. Following this introduction, we discuss static and dynamic assortment
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Recorded 01 March 2023. Hamsa Bastani of the University of Pennsylvania presents "Decision-Aware Learning for Global Health Supply Chains" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: The combination of machine learning (for prediction) and optimization (
From playlist 2023 Artificial Intelligence and Discrete Optimization
Bistra Dilkina: "Decision-focused learning: integrating downstream combinatorics in ML"
Deep Learning and Combinatorial Optimization 2021 "Decision-focused learning: integrating downstream combinatorics in ML" Bistra Dilkina - University of Southern California (USC) Abstract: Closely integrating ML and discrete optimization provides key advantages in improving our ability t
From playlist Deep Learning and Combinatorial Optimization 2021
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Recorded 01 March 2023. Phebe Vayanos of the University of Southern California presents "Integer optimization for predictive and prescriptive analytics in high stakes domains" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Motivated by problems in homeless
From playlist 2023 Artificial Intelligence and Discrete Optimization
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
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
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Recorded 03 March 2023. Paul Grigas of the University of California, Berkeley, presents "Offline and Online Learning for Contextual Stochastic Optimization" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Often the parameters of an optimization task are pred
From playlist 2023 Artificial Intelligence and Discrete Optimization
Elias Khalil - Neur2SP: Neural Two-Stage Stochastic Programming - IPAM at UCLA
Recorded 02 March 2023. Elias Khalil of the University of Toronto presents "Neur2SP: Neural Two-Stage Stochastic Programming" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Stochastic Programming is a powerful modeling framework for decision-making under un
From playlist 2023 Artificial Intelligence and Discrete Optimization
Shipra Agrawal: Multi-armed bandits and beyond
CONFERENCE Recorded during the meeting "Theoretical Computer Science Spring School: Machine Learning" the May 23, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathemat
From playlist Probability and Statistics
Unit 5 - pareto optimal allocations part 5
From playlist Courses and Series