Insights on Gradient-Based Algorithms in High-Dimensional Learning Published 2020-09-14 Download video MP4 360p Recommendations 1:00:26 Finding Large Cliques in Random and Semi-Random Graphs 53:03 25. Stochastic Gradient Descent 1:32:01 Diffusion and Score-Based Generative Models 56:25 The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry & ... 2:07:15 Black Holes and the Quantum-Extended Church-Turing Thesis | Quantum Colloquium 1:30:15 High-Dimensional Statistics I 1:03:45 Nonparametric Bayesian Methods: Models, Algorithms, and Applications II 1:17:55 Optimization I 23:47 Gaussian Processes 30:27 The Traveling Salesman Problem: When Good Enough Beats Perfect 48:41 TMLW02 | Prof. Jing Dong | Stochastic Gradient Descent with Adaptive Data 15:52 Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam) 1:06:01 Nonparametric Bayesian Methods: Models, Algorithms, and Applications I 1:14:40 Lecture 3 | Loss Functions and Optimization 43:00 The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever 1:06:37 Pipelines for Data Analysis 54:49 Algorithmic Trading and Machine Learning 28:00 The Most Underrated Concept in Number Theory 1:21:19 Why Only Us: Language and Evolution 51:32 Predictive Coding Models of Perception Similar videos 1:00:56 Lenka Zdeborova - Insights on gradient-based algorithms in high-dimensional non-convex learning 1:18:41 Lenka Zdeborova - Insights on gradient based algorithms in high-dimensional non-convex optimization 58:47 "Insights on gradient-based algorithms in high-dimensional non-convex optimisation" Lenka Zdeborova 39:39 Statistical Physics Insights on Stochastic Gradient Descent | AI & Physics | Francesca Mignacco 03:06 Gradient Descent in 3 minutes 59:34 Professor Stéphane Mallat: "High-Dimensional Learning and Deep Neural Networks" 34:41 Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization 00:50 Mastering Gradient Descent | The Heart of Machine Learning Algorithms Explained 59:03 Data Learning - Statistical physics of stochastic gradient descent 1:00:05 Lenka Zdeborová, "What physics teaches us about computation in high dimensions" 56:42 Lenka Zdeborova: Algorithms in high-dimensional non-convex landscapes 10:38 Types of gradient-free optimizers 14:10 All Learning Algorithms Explained in 14 Minutes 1:17:19 1W-MINDS: May 11, Lenka Zdeborová: Insights on learning with neural networks from exactly... 53:08 Chiara Cammarota: "High-dimensional cost landscape and gradient descent in Tensor PCA and its ge..." 25:19 An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn 28:13 Deep Learning Lecture 4.2 - Gradient Descent 15:45 Understanding Gradient Descent for Over-parameterized Deep Neural Networks More results