SNAPP Seminar || Andrea Montanari (Stanford University) || August 10, 2020 Published 2020-08-10 Download video MP4 360p Download video MP4 720p Recommendations 49:14 SNAPP Seminar || Isaac Grosof (Georgia Institute of Technology) || October 9, 2023 1:32:01 Diffusion and Score-Based Generative Models 1:20:34 Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019) 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:18:17 Lecture 2 | Word Vector Representations: word2vec 52:28 Mathematics Gives You Wings 1:03:59 SNAPP Seminar || Ali Aouad (London Business School) || May 22, 2023 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 1:06:28 SNAPP Seminar || Lei Ying (University of Michigan) || November 9, 2023 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 1:00:44 SNAPP Seminar || Mor Harchol-Balter (Carnegie Mellon University) || May 1, 2023 1:21:46 Lecture 16 | Adversarial Examples and Adversarial Training 59:32 Lecture 2 | Image Classification 1:37:52 Classical Mechanics | Lecture 10 58:12 Lecture 1 | Introduction to Robotics 43:00 The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever 1:08:40 Lecture 1 | Machine Learning (Stanford) 1:49:23 Lecture 1 | Modern Physics: Special Relativity (Stanford) 1:57:45 The spelled-out intro to language modeling: building makemore 18:40 But what is a neural network? | Chapter 1, Deep learning Similar videos 1:05:27 SNAPP Seminar || Mohsen Bayati (Stanford University) || August 24, 2020 59:15 IMS Medallion Lecture: "High-dimensional interpolators..." Andrea Montanari 1:07:28 LIDS Student Conference 2019: Andrea Montanari 1:00:02 SNAPP Seminar || Balaji Prabhakar (Stanford University) || October 12, 2020 52:41 Optimal Iterative Algorithms for Problems With Random Data 1:23:00 ICTP-SISSA Colloquium: "What is Machine Learning, And What We Don't Understand About It" 45:16 Tractability And Overparametrization In Some Simple Models 1:06:12 Andrea Montanari | Self-induced regularization from linear regression to neural networks 1:06:54 Where the Hard Things Are 1:05:39 Andrea Montanari (Stanford) -- Mean Field Descriptions of Two Layers Neural Network 58:02 An Instability in Variational Methods for Learning Topic Models 1:01:10 Seminario Andrea Montanari: mathematical problems in modern machine learning 1:02:50 Computational Barriers in Statistical Estimation and Learning 1:12:18 SNAPP Seminar || Jing Dong (Columbia University) || August 17, 2020 1:11:22 Andrea Montanari -Mean field methods in high-dimensional statistics and nonconvex optimization - 2/5 1:14:36 SNAPP Seminar || Bruce Hajek (UIUC) || July 13 2020 48:35 Interpolation Phase Transition in Neural Networks: Memorization and Generalization 44:53 Local Algorithms for Two Problems on Locally Tree-Like Graphs 1:17:25 Andrea Montanari - Algorithms and computational phase transitions in low-rank estimation More results