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Stanford University

Deep Learning Intuition - Lecture 2

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Explore deep learning intuition with Stanford experts, covering logistic regression, face verification, neural architectures, and advanced applications in computer vision and image processing.
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13 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 7

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 5

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Explore advanced optimization techniques with Professor Stephen Boyd, focusing on convex problems and their applications in engineering and beyond.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 4

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Explore advanced convex optimization techniques with Stanford's Professor Stephen Boyd, focusing on practical applications in engineering and data science.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 10

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Delve into complex mathematical concepts and their practical applications in engineering and data science.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 9

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 13

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 17

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 16

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 15

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd, covering key concepts and applications in electrical engineering and beyond.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 3

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Dive deep into mathematical concepts and practical applications in this comprehensive lecture series.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 12

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Delve into complex mathematical concepts and their practical applications in engineering and data science.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
NPTEL

Artificial Intelligence

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Comprehensive exploration of AI concepts, algorithms, and techniques, covering search strategies, optimization methods, game playing, planning, constraint satisfaction, and knowledge-based systems.
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48 Lesons
1 day 15 hours
On-Demand
Free-Video
NPTEL

Manufacturing Systems Management

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Comprehensive exploration of manufacturing systems, covering cellular manufacturing, JIT, synchronous manufacturing, and flexible systems, with focus on optimization and efficiency.
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40 Lesons
1 day 10 hours
On-Demand
Free-Video
University of Central Florida

Stereo Vision and Depth Perception in Computer Vision - Lecture 16

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Explore stereo vision techniques, including shape reconstruction, rectification, correspondence, and correlation methods for depth perception in computer vision applications.
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17 Lesons
33 minutes
On-Demand
Free-Video
University of Central Florida

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior - Spring 2021

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Explore video adversarial attacks using the Motion-Excited Sampler technique, covering problem formulation, methodology, gradient estimation, and results analysis.
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19 Lesons
24 minutes
On-Demand
Free-Video
University of Central Florida

Classification in Computer Vision - Part II - Lecture 19

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Explore advanced classification techniques in computer vision, including SVMs, neural networks, and fully convolutional networks. Learn about activation functions, loss functions, and optimization for effective model training.
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18 Lesons
56 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Price of Implicit Bias in Robust Machine Learning

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Explore the impact of implicit bias on robust machine learning, examining challenges in neural network performance and generalization gaps in worst-case scenarios.
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1 Lesons
46 minutes
On-Demand
Free-Video
Great Learning

Stochastic Gradient Descent

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Explore stochastic gradient descent, its advantages, and implementation. Learn about mini-batches, momentum, and convergence in this optimization algorithm for machine learning models.
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14 Lesons
1 hour 37 minutes
On-Demand
Free-Video
ACCU Conference

An Introduction to Swarm Intelligence Algorithms

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Discover nature-inspired swarm intelligence algorithms, exploring how virtual ants, bees, and other animals can solve complex problems and provide foundations for understanding broader AI concepts.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
GERAD Research Center

Route Optimization for Spring Sweeping Operations - Lecture

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Optimisez les itinéraires de balayage printanier des routes. Découvrez un modèle et trois approches de décomposition pour résoudre ce problème de tournées de véhicules.
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1 Lesons
42 minutes
On-Demand
Free-Video
CIMPA UCR

Multidimensional Scaling by Particle Swarm Optimization

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Explora el escalamiento multidimensional mediante optimización por enjambre de partículas con el experto Javier Trejos.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
CIMPA UCR

Metaheurísticas en Diseño Territorial: Mono-Objetivo y Bi-Objetivo

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Explore metaheurísticas en diseño territorial, abordando enfoques mono-objetivo y bi-objetivo con la Dra. Bernábe-Loranca de la Universidad Autónoma de Puebla.
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1 Lesons
46 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Curiosities and Counterexamples in Smooth Convex Optimization

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Explore counterexamples and curiosities in smooth convex optimization, focusing on key concepts and unique aspects of this mathematical field.
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1 Lesons
36 minutes
On-Demand
Free-Video
Fields Institute

Semidefinite Optimization Approaches for Reactive Optimal Power Flow Problems

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Explore advanced optimization techniques for solving reactive optimal power flow problems in electrical power systems using semidefinite programming approaches.
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1 Lesons
57 minutes
On-Demand
Free-Video
Paul G. Allen School

Convex Optimization I - Fundamentals and Applications

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Explore fundamental concepts and applications of convex optimization with Microsoft researcher Sebastien Bubeck in this comprehensive lecture on mathematical programming techniques.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Tensor Networks for Machine Learning and Applications

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Explore tensor networks in machine learning, their benefits, and applications. Learn about model functions, optimization algorithms, and potential insights for matching architectures to data types.
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21 Lesons
31 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Distributed Stochastic Non-Convex Optimization - Optimal Regimes and Tradeoffs

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Explore optimal regimes and tradeoffs in distributed stochastic non-convex optimization with Usman A. Khan. Gain insights into advanced data science concepts and their applications in signal processing.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Alan Turing Institute

Delayed Column Generation in Large Scale Integer Optimization Problems

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Explore delayed column generation for solving large-scale mixed integer programming problems, focusing on applications in data science and decision mathematics.
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1 Lesons
2 hours 41 minutes
On-Demand
Free-Video
Simons Institute

Randomized Linear Algebra for Interior Point Methods

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Explore randomized linear algebra techniques for efficient interior point methods in linear programming, focusing on applications in data science and scientific computing.
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1 Lesons
27 minutes
On-Demand
Free-Video
Simons Institute

Interior Point Methods

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Explore advanced interior point methods for optimization, covering key ideas, path following analysis, and specialized algorithms like Renegar's and regularized John ellipse barrier.
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12 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Introduction to Interior Point Methods for Discrete Optimization, Lecture I

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Explore interior point methods for optimization, their recent advancements, and applications in solving various continuous and combinatorial problems efficiently.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Yacine Mahdid

How to Read Math in Deep Learning Papers - A 5-Step Process

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Learn a 5-step method to decipher mathematical formulas in deep learning papers, enhancing your understanding and intuition of complex AI concepts.
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11 Lesons
27 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Compact Representations of Excited States from QMC, as Data for Low-Energy Models

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Explore compact wave function representations for excited states in quantum mechanics, focusing on variational Monte Carlo methods and their applications in effective model development.
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9 Lesons
51 minutes
On-Demand
Free-Video
QChemSoftware

Geometry Optimization in Q-Chem - 2023 Virtual Winter School in Computational Chemistry

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Overview of geometry optimization in Q-Chem, focusing on practical aspects of running calculations and paired with a hands-on lab exercise.
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1 Lesons
17 minutes
On-Demand
Free-Video
Let's Code Physics

FTL Beam Optimizer - Building a Starship Weapon Trajectory Code - Episode 1

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Explore beam weapon optimization in FTL game through coding, focusing on user interface, ship design, and room management techniques.
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10 Lesons
37 minutes
On-Demand
Free-Video
UofU Data Science

Stochastic Gradient Descent for Support Vector Machines - Lecture 22

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Dive into stochastic gradient descent algorithms and their application in optimizing Support Vector Machines through practical implementation techniques and mathematical foundations.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
UofU Data Science

Stochastic Gradient Descent for Support Vector Machines - Lecture 22A

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Dive into stochastic sub-gradient descent optimization for Support Vector Machines and discover its connection to perceptron algorithms through practical implementation techniques.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
UofU Data Science

Practical Issues with Neural Networks in Machine Learning - Lecture 27

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Explore practical challenges and solutions for training large neural networks, including effective strategies and optimization techniques for improved performance.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
AutoML Seminars

No Train No Gain - Revisiting Efficient Training Algorithms for Transformer-based Language Models

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Delve into efficient training algorithms for Transformer models, exploring dynamic architectures, batch selection, and optimizers while examining their effectiveness against baseline methods.
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17 Lesons
46 minutes
On-Demand
Free-Video
AutoML Seminars

Discovering Black-Box Optimizers via Evolutionary Meta-Learning

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Delve into evolutionary meta-learning techniques for discovering black-box optimizers, exploring advanced concepts in evolution strategies and genetic algorithms through self-attention architectures.
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26 Lesons
50 minutes
On-Demand
Free-Video
AutoML Seminars

Open Source Vizier: Distributed Infrastructure for Blackbox Optimization and Hyperparameter Tuning

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Explore Google's Vizier system for blackbox optimization and hyperparameter tuning, covering its distributed infrastructure, Python implementation, and integration with AutoML ecosystem.
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10 Lesons
42 minutes
On-Demand
Free-Video
Yannic Kilcher

Descending Through a Crowded Valley - Benchmarking Deep Learning Optimizers

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Comprehensive analysis of popular deep learning optimizers, comparing performance across tasks and providing evidence-based recommendations for algorithm selection and parameter tuning.
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9 Lesons
41 minutes
On-Demand
Free-Video
Yannic Kilcher

Training More Effective Learned Optimizers, and Using Them to Train Themselves - Paper Explained

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Explores a novel approach to machine learning optimization using neural networks, discussing its architecture, training process, and potential to revolutionize model training through self-improvement and generalization.
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15 Lesons
54 minutes
On-Demand
Free-Video
Yannic Kilcher

Learning Rate Grafting: Transferability of Optimizer Tuning - Machine Learning Research Paper Review

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Explore grafting technique for transferring learning rate schedules between optimizers, improving deep learning model performance and reducing computational costs in hyperparameter tuning.
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7 Lesons
39 minutes
On-Demand
Free-Video
Yannic Kilcher

Gradients Are Not All You Need - Machine Learning Research Paper Explained

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Explores limitations of differentiable programming in machine learning, focusing on chaos-based failures in various systems. Discusses alternatives to backpropagation for gradient estimation in complex, stochastic environments.
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12 Lesons
49 minutes
On-Demand
Free-Video
Simons Institute

Stochastic Variance Reduction Methods for Policy Evaluation

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Explore stochastic variance reduction methods for policy evaluation in reinforcement learning, covering MSPBE, SVRG, and SAGA algorithms with experimental results.
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21 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Continuous Algorithms - Sampling and Optimization in High Dimension

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Explore high-dimensional sampling and optimization techniques, including cutting plane methods, interior-point algorithms, and Riemannian Hamiltonian Monte Carlo, with insights on complexity and open problems.
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10 Lesons
33 minutes
On-Demand
Free-Video
Kunal Kushwaha

Bitwise Operators and Number Systems - Maths for DSA

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Comprehensive guide to bitwise operators and number systems, covering theory and practical applications. Includes interview questions and optimization techniques for data structures and algorithms.
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26 Lesons
2 hours 17 minutes
On-Demand
Free-Video
Simons Institute

Optimization: Interior Point Methods - Part 2

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Explore advanced interior point methods for optimization, focusing on data structures and algorithms to enhance computational efficiency in solving complex problems.
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1 Lesons
49 minutes
On-Demand
Free-Video
Simons Institute

Optimization: Interior Point Methods - Part 1

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Explore interior point methods for optimization with Stanford's Yinyu Ye, covering fundamental concepts and applications in data structures and fast algorithms.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Aaron Sidford- Introduction to Interior Point Methods for Discrete Optimization, Lecture III

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Explore interior point methods for discrete optimization, covering theory, advancements, and applications in maximum flow, bipartite matching, and linear programming.
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15 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Aaron Sidford: Introduction to Interior Point Methods for Discrete Optimization, Lecture II

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Explore interior point methods for discrete optimization, covering theory, advances, and applications in flow, matching, and linear programming problems.
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13 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Alfredo Canziani

Optimisation

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Explore optimization techniques for neural networks, including gradient descent, SGD, momentum, adaptive methods, and normalization layers, with real-world applications in MRI technology.
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7 Lesons
1 hour 29 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Understanding Parameter Spaces Using Local Optima Networks

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Explores using Local Optima Networks to analyze parameter landscapes of Particle Swarm Optimization, revealing complex structures influenced by underlying objective functions.
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11 Lesons
24 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

On the Computability of Continuous Maximum Entropy Distributions with Applications

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Explore computability of continuous maximum entropy distributions, their applications in quantum entropy and interior point methods, and implications for SDP rounding algorithms.
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11 Lesons
24 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Reducing Path TSP to TSP

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Learn about reducing Path TSP to TSP, exploring canonical ideas, large distances, special cases, and practical examples in this concise algorithmic exploration.
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7 Lesons
25 minutes
On-Demand
Free-Video
Simons Institute

Machine Learning-Based Design of Proteins

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Explore machine learning-based protein design with Jennifer Listgarten, covering directed evolution, predictive models, and optimization techniques for gene therapy applications.
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15 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Quantum Algorithms for Optimization - Quantum Colloquium

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Explore quantum algorithms for optimization, including discrete and continuous problems, with insights on potential speedups and limitations in quantum computing applications.
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11 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Simons Institute

On the Foundations of Deep Learning - SGD, Overparametrization, and Generalization

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Explore foundations of deep learning, focusing on SGD, overparametrization, and generalization. Delve into optimization dynamics, margin theory, and the impact of network architecture on performance.
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27 Lesons
46 minutes
On-Demand
Free-Video
Fields Institute

Recent Advances in Iterative Solvers for Interior Point Methods

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Explore recent advancements in iterative solvers for interior point methods, covering linear programming, optimization theory, and applications in big data and compressed sensing.
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21 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Quantum Approximate Optimization Algorithm and Local Max-Cut - IPAM at UCLA

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Explore quantum optimization algorithms, focusing on QAOA's application to LocalMaxCut. Discover insights on quantum supremacy and the performance comparison between local algorithms and QAOA on various graph instances.
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5 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Meta-Learning of Optimizers and Update Rules

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Explore cutting-edge techniques in meta-learning for optimizers and update rules, focusing on advancements in deep learning and their applications in AI research.
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1 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Learning One-Hidden-Layer Neural Networks with Landscape Design

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Explore optimization techniques for one-hidden-layer neural networks, focusing on landscape design and new objective functions to overcome traditional training challenges.
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9 Lesons
32 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Mixed Integer Optimization in High Dimensions

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Explore advanced techniques for solving high-dimensional mixed integer optimization problems, focusing on cutting-edge algorithms and theoretical foundations.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

The Approximation Ratio of the k-Opt Heuristic for Euclidean TSP

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Explore the k-Opt heuristic's approximation ratio for Euclidean TSP, improving upper bounds and providing new lower bounds for k ≥ 3, applicable to various p-norms.
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1 Lesons
32 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

LP-Norm Multiway Cut

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Explores graph partitioning with lp-norm multiway cut, unifying min-sum and min-max variants. Discusses hardness, integrality gap, and approximation algorithm for this generalized problem.
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1 Lesons
31 minutes
On-Demand
Free-Video
Fields Institute

Dual Principal Component Pursuit

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Explore a novel approach to learning subspaces from corrupted data, tolerating high outlier ratios and dimensions. Discover algorithms and theoretical guarantees for this non-convex optimization problem.
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1 Lesons
51 minutes
On-Demand
Free-Video
Paul Hand

Gradient Descent and Stochastic Gradient Descent

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Explore gradient descent and stochastic gradient descent in deep neural networks, covering convergence rates, learning rate effects, and challenges in optimization algorithms.
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10 Lesons
57 minutes
On-Demand
Free-Video
Reducible

The Traveling Salesman Problem - When Good Enough Beats Perfect

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Explore heuristic approaches and optimization techniques for the Traveling Salesman Problem, including nearest neighbor, greedy, Christofides, local search, simulated annealing, and ant colony optimization.
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12 Lesons
30 minutes
On-Demand
Free-Video
tinyML

Introduction to Optimization Algorithms to Compress Neural Networks

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Explore optimization techniques for compressing neural networks, including pruning and quantization, to enable deployment on resource-constrained devices like smartphones.
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16 Lesons
48 minutes
On-Demand
Free-Video
Andreas Geiger

Estimating Human Motion: Past, Present, and Future

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Explore the evolution of human motion estimation techniques, from early computer vision approaches to modern 3D body modeling, with insights on challenges and future directions.
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49 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Inexact Accelerated High-order Proximal-point Methods in Convex Programming

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New framework for accelerated methods in convex programming using approximations of high-order proximal points. Presents second-order method with O(k^(-4)) convergence rate, surpassing traditional complexity limits.
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1 Lesons
55 minutes
On-Demand
Free-Video
Alan Turing Institute

Interacting Particle Systems for Expectation Maximization in Latent Variable Models

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Explore a novel interacting particle system for EM optimization in latent variable models, featuring Langevin diffusion analysis and non-asymptotic concentration bounds for maximum likelihood estimation.
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12 Lesons
27 minutes
On-Demand
Free-Video
IEEE

Towards a Theory of Non-Commutative Optimization - Geodesic First and Second Order Methods for Moment Maps

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Explore geodesic methods for non-commutative optimization, focusing on moment maps and their applications in mathematical theory and algorithms.
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1 Lesons
23 minutes
On-Demand
Free-Video
Simons Institute

IPM and Nested Dissection for Planar and Separable LPs

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Exploring efficient LP solvers using nested dissection in IPM framework for planar min-cost flow, multicommodity flow, low treewidth LPs, and separable LPs. Focuses on optimization techniques and algorithm design.
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1 Lesons
28 minutes
On-Demand
Free-Video
Paul G. Allen School

Fast and Accurate Deep Neural Networks Training

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Exploring LARS and LAMB optimizers for scaling deep learning on supercomputers, enabling faster training and higher accuracy in AI applications across various industries.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Paul G. Allen School

Deep Learning IV - Advanced Topics in Neural Networks

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Explore advanced deep learning concepts with NYU professor Joan Bruna, covering cutting-edge techniques and applications in neural networks and machine learning.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Paul G. Allen School

Deep Learning III - Advanced Topics in Neural Networks

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Explore advanced deep learning concepts with NYU professor Joan Bruna, covering cutting-edge techniques and applications in neural networks and machine learning.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Paul G. Allen School

Bandits II - Advanced Algorithms and Applications

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Explore advanced bandit algorithms and their applications in decision-making under uncertainty with Kevin Jamieson from the University of Washington.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Simons Institute

Continuous-Time Quantum Walks for MAX-CUT Optimization

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Explore quantum walks for MAX-CUT optimization, linking Hamiltonians to thermalization. Discover novel insights into unitary dynamics for combinatorial problems using multi-stage walks and Floquet systems.
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1 Lesons
40 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Memory as a Lens to Understand Efficient Learning and Optimization

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Exploring memory's role in optimization, discussing convergence rates of memory-limited algorithms vs. computationally expensive methods, and examining new problem structures to improve gradient descent variants.
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1 Lesons
48 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Generative Techniques for Music AI

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Explore diverse techniques for AI music generation, from symbolic AI to deep learning, covering optimization algorithms, complex systems, and statistical methods. Gain insights into key approaches and their applications.
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16 Lesons
36 minutes
On-Demand
Free-Video
Wolfram

Global Optimization in Wolfram Language: Solving Nonlinear and Nonconvex Problems

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Explore advanced global optimization techniques in Wolfram Language for solving complex nonlinear and mixed-integer problems with real-world examples.
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1 Lesons
19 minutes
On-Demand
Free-Video
IEEE

Faster Polytope Rounding, Sampling, and Volume Computation via a Sublinear Ball Walk

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Explore advanced algorithms for efficient polytope analysis, including rounding, sampling, and volume computation using innovative Markov chain techniques.
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14 Lesons
18 minutes
On-Demand
Free-Video
IEEE

Breaking of 1RSB in Random MAX-NAE-SAT

0 rewiews
Explore the intricacies of random MAX-NAE-SAT, focusing on 1RSB breaking, solution spaces, and key concepts like garnet transition and moment bounds.
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11 Lesons
19 minutes
On-Demand
Free-Video
IEEE

Optimization of the Sherrington-Kirkpatrick Hamiltonian

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Explore the optimization of the Sherrington-Kirkpatrick Hamiltonian, covering stochastic block models, random graphs, and algorithmic insights for solving complex optimization problems.
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16 Lesons
23 minutes
On-Demand
Free-Video
IEEE

Revisiting Tardos’s Framework for Linear Programming - Faster Exact Solutions using Approximate Solvers

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Explore advanced linear programming techniques, focusing on Tardos's framework and innovative approaches for faster exact solutions using approximate solvers.
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14 Lesons
24 minutes
On-Demand
Free-Video
USENIX

Collie - Finding Performance Anomalies in RDMA Subsystems

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Discover a tool for uncovering performance anomalies in RDMA subsystems, exploring its design, implementation, and effectiveness in finding and addressing hardware-related issues.
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15 Lesons
15 minutes
On-Demand
Free-Video
ACCU Conference

Turtles! Hill Climbing! Hammers! Paper Bags!

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Explore optimization techniques through turtle graphics, from hill climbing to simulated annealing, laying the groundwork for understanding neural networks and machine learning concepts.
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25 Lesons
1 hour 6 minutes
On-Demand
Free-Video
CppNow

Distributed Parametric Optimization with the Geneva Library

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Explore Geneva, an open-source library for distributed optimization algorithms, leveraging Boost libraries to solve large-scale parametric problems on multi-core systems, clusters, and cloud environments.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
EuroPython Conference

From Algorithms to Agendas - A Beginner's Guide to Integer Programming

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Discover how Integer Programming optimizes conference scheduling, maximizing attendee satisfaction through efficient talk allocation to time slots and rooms.
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1 Lesons
29 minutes
On-Demand
Free-Video
Ruby Central

Simulated Annealing - The Most Metal Algorithm Ever

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Explore simulated annealing, a metallurgy-inspired algorithm for near-optimal solutions in constrained optimization problems, and learn to implement it using the Annealing gem in Ruby.
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1 Lesons
28 minutes
On-Demand
Free-Video
Conference GSI

DL4TO: A Deep Learning Library for Sample Efficient Topology Optimization

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Explore deep learning techniques for efficient topology optimization using the DL4TO library, enhancing structural design processes.
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1 Lesons
18 minutes
On-Demand
Free-Video
Confreaks

Simulated Annealing: The Most Metal Algorithm Ever - Lecture

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Explore simulated annealing algorithm for near-optimal solutions in constrained optimization problems, inspired by metallurgy and applicable to Ruby apps.
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13 Lesons
28 minutes
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Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

A New Derivative-Free Method Using an Improved Under-Determined Quadratic Interpolation Model

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Explore a novel derivative-free optimization method using improved under-determined quadratic interpolation, considering trust-region iteration properties and model optimality.
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1 Lesons
23 minutes
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Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Stochastic Algorithms for Constrained Continuous Optimization

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Explore stochastic-gradient-based algorithms for constrained continuous optimization, focusing on interior-point and sequential-quadratic-programming methods with convergence guarantees and practical applications.
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1 Lesons
29 minutes
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Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Bilevel Optimization Problems: Algorithms and Theory

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Explore recent developments in bilevel optimization algorithms, their theoretical analysis, and challenges in machine learning and data science applications.
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1 Lesons
25 minutes
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Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Strong Convergence of Inertial Algorithms via Tikhonov Regularization

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Explore inertial algorithms with Tikhonov regularization for optimization problems, examining strong convergence to minimum norm solutions and fast convergence rates for objective function values.
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1 Lesons
24 minutes
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Institute for Mathematical Sciences

Set-limited Functions and Polynomial-time Interior-point Methods

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Explore polynomial-time interior-point methods and set-limited functions with Yurri Nesterov, delving into advanced optimization techniques and mathematical theory.
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1 Lesons
48 minutes
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