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Stanford University

Convex Optimization I - Lecture 6

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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 18 minutes
On-Demand
Free-Video
Stanford University

Convex Optimization I - Lecture 8

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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 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 2

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Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Dive deep into mathematical concepts and practical applications 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 1

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Explore fundamental concepts of convex optimization with Stanford's Stephen Boyd. Gain insights into this powerful mathematical technique for solving complex problems efficiently.
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1 Lesons
1 hour 18 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
Stanford University

Convex Optimization I - Lecture 11

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

Operator Scaling via Geodesically Convex Optimization, Invariant Theory and Polynomial Identity Testing - Yuanzhi Li

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Explore geodesically convex optimization, invariant theory, and polynomial identity testing in this advanced seminar on operator scaling, featuring key theorems and proofs.
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15 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Institut Henri Poincaré

Structured Prediction with Sparse Wasserstein Barycenters

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Explorez la prédiction structurée avec les barycentres de Wasserstein clairsemés. Apprenez les concepts clés et les applications de cette technique mathématique avancée.
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1 Lesons
49 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

Circumcenter Method for Solving the Variational Inequality Problem

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Explore o método do circuncentro para resolver problemas de desigualdade variacional, abordando operadores paramonótonos e monótonos com base em técnicas de extragradiente e subgradiente.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
GERAD Research Center

A Bottom-Up Approach to Socially Optimal Discrete Choices Under Congestion

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Explorez une approche ascendante pour optimiser les choix discrets socialement optimaux en situation de congestion, avec applications à l'évacuation de foules et à la robotique.
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1 Lesons
51 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
NIOS

Convex Optimization

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Learn Convex Optimization in under an hour with NIOS's concise and focused material. Prof. Joydeep Dutta.
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1 Lesons
30 minutes
On-Demand
Free-Video
IEEE

The Value of Collaboration in Convex Machine Learning with Differential Privacy

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Explores collaborative machine learning on distributed private data using differentially-private gradients, quantifying trade-offs between privacy and utility, and validating performance predictions with real-world financial datasets.
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10 Lesons
16 minutes
On-Demand
Free-Video
Paul G. Allen School

Theory Seminar - Differential Privacy in Theory and Practice, Abie Flaxman

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Explore differential privacy in the US Census, its impact on data accuracy, and potential improvements. Insights from analyzing test runs and 1940 data application.
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12 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Computational Methods for Mean-Field Games

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Explore computational methods for mean-field game systems, including finite-difference, convex optimization, Lagrangian, and machine-learning techniques for solving high-dimensional Hamilton-Jacobi PDEs.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Polar Deconvolution of Mixed Signals - IMAGINE Seminar Series

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Explore signal demixing using polar deconvolution, a novel approach for separating mixed signals with high efficiency and stability, presented by Michael Friedlander from UBC.
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1 Lesons
55 minutes
On-Demand
Free-Video
Google TechTalks

Private Convex Optimization via Exponential Mechanism - Differential Privacy for Machine Learning

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Explore private convex optimization using the exponential mechanism. Learn differential privacy, noisy SGD, and isoperimetric inequality for ML applications.
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21 Lesons
53 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
Georgia Tech Research

Do We Really Need All That Data? Learning and Control for Contact-rich Manipulation

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Explore data efficiency in robotic manipulation, focusing on contact-driven aspects and implicit learning techniques for improved adaptability and real-time multi-contact MPC deployment.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
GERAD Research Center

A Potential Approach for One-Dimensional Price Formation Models

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Explore a novel approach to solving first-order mean-field games in price formation using Poincaré's Lemma and potential functions, with applications to linear-quadratic models.
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1 Lesons
42 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Strictly-Correlated Electron Functional and Multimarginal Optimal Transport

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Explore convex optimization methods for multi-marginal transport problems in density functional theory, including relaxation techniques and rounding schemes for energy bounds.
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11 Lesons
29 minutes
On-Demand
Free-Video
Fields Institute

Rigidity Theory for Gaussian Graphical Models - The Maximum Likelihood Threshold of a Graph

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Explore rigidity theory's application to Gaussian graphical models, focusing on maximum likelihood thresholds and their implications for data analysis in genomics and other fields.
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11 Lesons
42 minutes
On-Demand
Free-Video
Paul G. Allen School

Convex Optimization II - Advanced Techniques and Applications

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Explore advanced concepts in convex optimization with Microsoft Research expert Sebastien Bubeck, delving into cutting-edge techniques and applications in this field.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Computational Optimal Transport - A Mini Tutorial

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Overview of novel approaches to compute optimal transport, blending recent techniques including convex optimization, automatic differentiation, and neural networks for large-scale approximations in high-dimensional regimes.
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1 Lesons
2 hours 12 minutes
On-Demand
Free-Video
Alan Turing Institute

Optimisation - An Introduction: Professor Coralia Cartis, University of Oxford

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Explore optimization techniques, from basic concepts to advanced methods, covering minimizers, derivatives, quadratic functions, and gradient methods for solving complex mathematical problems.
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16 Lesons
2 hours 31 minutes
On-Demand
Free-Video
Paul G. Allen School

Convex Optimization V - Sebastien Bubeck - Microsoft Research

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Explore advanced optimization techniques with Sebastien Bubeck, covering telescopic sums, continuous time analysis, and variance reduction in convex optimization.
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10 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Paul G. Allen School

Convex Optimization IV - Sebastien Bubeck, Microsoft Research

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Explore advanced concepts in convex optimization, including gradient flow, comparison techniques, and optimal algorithms with Sebastien Bubeck from Microsoft Research.
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9 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Paul G. Allen School

Convex Optimization III - Sebastien Bubeck - Microsoft Research

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Explore advanced concepts in convex optimization, including gradient oracles, minimax principles, and efficient algorithms for solving complex optimization problems.
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12 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games

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Explore advanced cutting plane methods for convex optimization and games, covering improved algorithms, runtime bottlenecks, data structures, and practical applications in computational mathematics.
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13 Lesons
24 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

A Lower Bound for Parallel Submodular Minimization

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Explore lower bounds for parallel submodular minimization, examining adaptive complexity models and exponentially faster algorithms for this optimization problem.
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14 Lesons
22 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

The Convex Geometry of Blind Deconvolution and Matrix Completion Revisited

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Explores convex geometry in blind deconvolution and matrix completion, analyzing dimensional factors in noise bounds and proposing alternative error scaling approaches for low-rank matrix recovery problems.
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23 Lesons
50 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Introductory Lectures on First-Order Convex Optimization - Lecture 1

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Explore first-order convex optimization, covering gradient descent, complexity, smoothness, and Nesterov's accelerated algorithm. Gain insights into theoretical foundations and practical applications in machine learning.
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18 Lesons
1 hour 44 minutes
On-Demand
Free-Video
International Mathematical Union

Enlargements - A Bridge Between Maximal Monotonicity and Convexity

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Explore connections between maximally monotone operators and convex functions through enlargements, offering insights into variational problems and new distance measures for point-to-set maps.
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13 Lesons
44 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Hajime Ishihara - The Constructive Hahn Banach Theorem, Revisited

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Explores constructive versions of the Hahn-Banach theorem, focusing on separation and extension theorems. Discusses geometric properties, subderivatives, and Gâteaux derivatives in functional analysis.
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24 Lesons
33 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Provable Submodular Function Minimization via Fujishige Wolfe Algorithm

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Explore submodular function minimization through the Fujishige-Wolfe algorithm, analyzing its convergence and implications for combinatorial optimization.
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18 Lesons
25 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

An Overview on a Young Research Topic - Valuations on Spaces of Functions

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Explore valuations on function spaces, from convex bodies to Lipschitz and convex functions. Learn about recent classifications and advancements in this emerging mathematical field.
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1 Lesons
51 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Large Scale Machine Learning and Convex Optimization - Lecture 1

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Explore advanced stochastic optimization techniques for large-scale machine learning, including novel Newton-based algorithms and hybrid approaches that achieve improved convergence rates and efficiency.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Geometric Probabilities and Valuation Theory

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Explore applications of geometric valuation theory to probabilities and integral geometry, including Cauchy-Kubota formulas and recent findings for convex functions.
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1 Lesons
38 minutes
On-Demand
Free-Video
NIOS

Non Linear Programming

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Explore advanced optimization techniques including convex, quadratic, separable, geometric, and dynamic programming, as well as search methods and numerical integration.
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21 Lesons
12 hours
On-Demand
Free-Video
Alan Turing Institute

Can Learning Theory Resist Deep Learning? - Francis Bach, INRIA

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Exploring global convergence of gradient descent in non-convex optimization for deep learning, highlighting challenges in bridging theory and practice in machine learning algorithms.
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19 Lesons
43 minutes
On-Demand
Free-Video
Simons Institute

Optimization: Higher-order Methods - Part 2

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Explore advanced optimization techniques and higher-order methods for fast algorithms, focusing on data structures and their applications in algorithmic efficiency.
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1 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Optimization: Higher-order Methods - Part 1

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Explore advanced optimization techniques using higher-order methods, focusing on theoretical foundations and practical applications in algorithm design and data structures.
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1 Lesons
57 minutes
On-Demand
Free-Video
Simons Institute

Optimization: First-order Methods - Part 2

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Explore advanced first-order optimization techniques, focusing on accelerated gradient methods and their applications in solving complex algorithmic problems.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Simons Institute

Optimization: First-order Methods - Part 1

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Explore first-order optimization methods with Alina Ene, focusing on fundamental techniques and algorithms for efficient problem-solving in data structures and algorithm design.
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1 Lesons
57 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Barycenters and a Law of Large Numbers in Gromov Hyperbolic Spaces

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Explore barycenters in Gromov hyperbolic spaces, examining contraction properties and a law of large numbers for convex optimization applications in metric spaces.
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1 Lesons
51 minutes
On-Demand
Free-Video
Simons Institute

A Stochastic Newton Algorithm for Distributed Convex Optimization

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Explore a novel stochastic Newton algorithm for distributed convex optimization, reducing communication rounds while maintaining performance. Gain insights into convergence guarantees and practical applications.
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1 Lesons
35 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Complex Monge-Ampère Operators and Functional Hermitian Intrinsic Volumes

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Explore geometric construction of Monge-Ampère operators on finite convex functions, examining their properties and related valuations as functional versions of Hermitian intrinsic volumes.
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1 Lesons
24 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Recent Advances in Valuations on Function Spaces

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Explore recent developments in valuations on function spaces, focusing on convex and continuous functions, with insights into measure-valued valuations and their classifications.
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1 Lesons
41 minutes
On-Demand
Free-Video
Simons Institute

Recent Progress on Submodular Function Minimization

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Explore recent advancements in submodular function minimization algorithms, leveraging convex optimization methods to address open questions and improve efficiency in discrete optimization.
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1 Lesons
32 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

High-Dimensional PDEs, Tensor Networks, and Convex Optimization

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Explore innovative computational methods for high-dimensional PDEs using tensor networks and convex relaxations, addressing the curse of dimensionality with low-order statistics approximations.
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1 Lesons
53 minutes
On-Demand
Free-Video
Paul G. Allen School

Information Complexity of Mixed-Integer Convex Optimization

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Explore information complexity in mixed-integer convex optimization, including oracle-based bounds and partial first-order information impacts, with insights from Professor Amitabh Basu.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Nonmonotone Forward-Backward Splitting Method for Infinite-Dimensional Optimization Problems

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Explore nonmonotone forward-backward splitting for nonsmooth composite problems in Hilbert spaces, covering convergence analysis, complexity, and numerical experiments.
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1 Lesons
23 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Progressive Decoupling of Dynamics in Convex Optimal Control

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Explore progressive decoupling in convex optimization for optimal control, connecting classical calculus of variations with modern convex analysis and duality concepts.
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1 Lesons
34 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Coordinate Descent Methods Beyond Separability and Smoothness

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Explore advanced coordinate descent methods for complex optimization problems, covering nonseparable and nonsmooth functions, random proximal gradients, and smooth approximations.
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1 Lesons
30 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

New Perspectives for Higher-order Methods in Convex Optimization

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Explore advanced techniques in convex optimization, focusing on higher-order methods and their applications in mathematical problem-solving and algorithm development.
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1 Lesons
51 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

Optimization in Theory and Practice

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Explore optimization techniques and their real-world applications with insights from Stephen Wright of University of Wisconsin-Madison, blending theoretical foundations and practical implementations.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Exploiting Sparsity in Polynomial Optimization - Lecture 1

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Explore sparsity exploitation techniques in polynomial optimization, focusing on advanced mathematical concepts and practical applications.
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1 Lesons
1 hour 29 minutes
On-Demand
Free-Video
The Julia Programming Language

Convex Network Flows - Optimization Framework and Applications

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Introducing a general framework for modeling flow problems over hyper graphs, with applications in network optimization, power flow, and wireless networks. Includes fast, parallelizable algorithm implementation in Julia.
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1 Lesons
25 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Quantum Impurity and Quantum Embedding Theory - IPAM at UCLA

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Explore quantum impurity and embedding theories, from non-interacting systems to advanced concepts like DMET and DMFT, enhancing understanding of quantum many-body problems.
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20 Lesons
51 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

A Mathematical Introduction to Quantum Embedding Theory - IPAM at UCLA

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Explore quantum embedding methods for strongly-correlated materials, focusing on computational challenges at the single-particle level and recent optimization approaches.
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23 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Squid: Schools for Quantum Information Development

Generalized Rényi Entropy Accumulation Theorem and Quantum Probability Estimation

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Delve into advanced quantum cryptography through an exploration of the generalized Rényi entropy accumulation theorem, focusing on improved finite-size bounds and convex optimization techniques.
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1 Lesons
20 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

Large Scale Machine Learning and Convex Optimization - Lecture 3

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Explore advanced stochastic optimization techniques for large-scale machine learning, including novel Newton-based methods and combinations of batch and online algorithms for improved convergence rates.
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18 Lesons
1 hour 5 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Stochastic Gradient Descent and Machine Learning - Lecture 1

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Explore optimization methods, gradient descent, Newton's method, and convexity in machine learning. Gain insights into iterative algorithms and their applications in statistical physics and data analysis.
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20 Lesons
1 hour 53 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Robust Regression by Purushottam Kar

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Explore robust regression techniques for learning and estimation in algorithms and optimization, focusing on practical applications and theoretical foundations.
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14 Lesons
47 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

How to Escape Saddle Points Efficiently? by Praneeth Netrapalli

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Explore efficient methods for escaping saddle points in non-convex optimization, focusing on perturbed gradient descent and its applications in various algorithmic settings.
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15 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
Ryan O'Donnell

The Ellipsoid Algorithm - Lecture 19a of CS Theory Toolkit

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Explore the Ellipsoid Algorithm for solving Linear Programming and convex optimization, focusing on its polynomial-time efficiency and use of separation oracles in theoretical computer science.
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6 Lesons
31 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Quantum Speedups of Continuous Sampling and Optimization Problems - IPAM at UCLA

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Explore quantum algorithms for high-dimensional sampling and optimization, including log-concave distributions and approximately convex problems, with applications in statistics, machine learning, and physics.
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1 Lesons
55 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Stochastic Primal Dual Splitting Algorithms for Convex and Nonconvex Composite Optimization in Imaging

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Explore stochastic primal dual splitting algorithms for convex and nonconvex composite optimization in imaging, focusing on SPDFP and SVRG-PDFP methods and their applications.
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1 Lesons
49 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

On the Variance and Admissibility of Empirical Risk Minimization on Convex Classes

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Explores empirical risk minimization's variance and admissibility in function estimation, proving its minimax optimal variance and admissibility using concentration of measure techniques in convex geometry.
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1 Lesons
51 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Provably Learning a Multi-Head Attention Layer

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Explore algorithmic approaches and computational challenges in learning multi-head attention layers, with insights on provable algorithms and lower bounds for transformer model learnability.
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1 Lesons
50 minutes
On-Demand
Free-Video
Alan Turing Institute

Masterclass for Optimisation - Professor Coralia Cartis, University of Oxford

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Explore advanced optimization techniques for large-scale problems with Professor Coralia Cartis. Learn about algorithm development, analysis, and implementation for various problem classes in numerical optimization.
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1 Lesons
1 hour 53 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
Valence Labs

Mirror Diffusion Models for Constrained and Watermarked Generation

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Explore Mirror Diffusion Models for generating data on constrained sets, enhancing watermarking capabilities, and improving AI safety in drug discovery applications.
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7 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Pursuit of Low-dimensional Structures in High-dimensional Data - 2013

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Explore techniques for extracting low-dimensional structures from high-dimensional data, with applications in computer vision, image processing, and pattern recognition. Learn about convex optimization and regularization methods.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Hack In The Box Security Conference

Duplicating Black Box Machine Learning Models

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Exploración de técnicas avanzadas para duplicar modelos de aprendizaje automático de caja negra, destacando vulnerabilidades en servicios en la nube y proponiendo un nuevo método de ataque más eficiente.
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11 Lesons
39 minutes
On-Demand
Free-Video
IEEE

Is Interaction Necessary for Distributed Private Learning?

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Explores the necessity of interaction in locally differentially-private algorithms for convex optimization, presenting new algorithms and lower bounds on noninteractive approaches.
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1 Lesons
21 minutes
On-Demand
Free-Video
Wolfram

Wolfram Optimization - Overview and Advanced Techniques

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Explore Wolfram's optimization functions for solving diverse problems, from convex to multidomain, with practical examples and advanced techniques.
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11 Lesons
20 minutes
On-Demand
Free-Video
Simons Institute

Agnostic Proper Learning of Monotone Functions: Beyond the Black-Box Correction Barrier

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Explore efficient algorithms for agnostic, proper learning of monotone Boolean functions, overcoming previous limitations and achieving near-optimal runtime complexity.
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1 Lesons
24 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Error Bounds for Mean-Payoff Markov Decision Processes

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Explore optimal transport techniques for error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.
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1 Lesons
29 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

A Fresh Look at Algorithms for Solving Smooth Multiobjective Optimization Problems

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Explore new algorithms for smooth multiobjective optimization using linear programming to find decreasing directions, applicable to various constraint types and yielding substationary points.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Julia Programming Language

Teaching Optimization: Comparing cvxpy, pyomo, and JuMP

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Explore convex optimization modeling frameworks, comparing cvxpy, pyomo, and JuMP. Learn about common student challenges and how JuMP addresses them in undergraduate and graduate courses.
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1 Lesons
21 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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48 minutes
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Institute for Mathematical Sciences

Primal-Dual Optimization Methods for Robust Machine Learning

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Explore primal-dual optimization techniques for enhancing machine learning robustness, focusing on advanced mathematical approaches to improve model performance and reliability.
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47 minutes
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BIMSA

Entropic Optimal Transport: Convergence Rates and ODE Characterization

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Explore recent advances in entropic optimal transport, focusing on convergence rates and a novel ODE-based numerical method for multi-marginal problems. Gain insights into theoretical bounds and practical applications.
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47 minutes
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Georgia Tech Research

Inference and Uncertainty Quantification for Noisy Matrix Completion - Lecture 5

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Explore inference and uncertainty quantification for noisy matrix completion, focusing on de-biased estimators and their distributional characterizations for optimal confidence interval construction.
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51 minutes
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Georgia Tech Research

Compatibility and the Lasso - Lecture 2

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Explore compatibility and the Lasso in statistical learning with Sara van de Geer from ETH Zurich in this distinguished lecture on advanced machine learning techniques.
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57 minutes
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Google TechTalks

Fixed-point Error Bounds for Mean-payoff Markov Decision Processes

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Explore optimal transport techniques for deriving finite-time error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.
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58 minutes
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