IMS Medallion Lecture: "High-dimensional interpolators..." Andrea Montanari Published 2021-09-21 Download video MP4 360p Recommendations 1:13:02 Overparameterization in machine learning: insights from linear models – Andrea Montanari 1:08:25 IMS Medallion Lecture: "Deformed Polynuclear Growth in (1+1) Dimensions" Alexei Borodin 1:14:40 Lecture 3 | Loss Functions and Optimization 23:13 ☝️ШЕЙТЕЛЬМАН: Історичний день для УКРАЇНИ! До липня ВСЕ ВИРІШИТЬСЯ. Розкрито план ТРАМПА @sheitelman 07:13 Why the UK's Economy Stopped Working 1:18:27 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 1 15:01 Україна – Бельгія. Чемпіонат Європи, груповий етап / Огляд матчу 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:04:30 ICSDS 2022 Plenary Talk: "Conformal Prediction in 2022" Emmanuel Candès 50:09 IMS Medallion Lecture II: "Distribution-free Prediction:..." Rina Foygel Barber 20:26 We need to talk about your starving grandchildren. 1:13:59 Lecture 4 | Introduction to Neural Networks 14:05 Грузія – Португалія. Чемпіонат Європи, груповий етап / Огляд матчу 27:43 IMS Brown Session: "Statistical Inference for High-Dimensional Generalized Linear Models..." Rong Ma 1:09:44 2. Risk and Financial Crises 1:13:55 IMS Medallion Lecture: "Non-asymptotic Random Matrix Theory" Ramon van Handel 1:32:01 Diffusion and Score-Based Generative Models 1:08:56 Lecture 5 | Convolutional Neural Networks Similar videos 1:25:32 Andrea Montanari - Lecture 1 1:07:28 LIDS Student Conference 2019: Andrea Montanari 1:23:05 SNAPP Seminar || Andrea Montanari (Stanford University) || August 10, 2020 1:06:12 Andrea Montanari | Self-induced regularization from linear regression to neural networks 59:18 Andrea Montanari -Mean field methods in high-dimensional statistics and non-convex optimization- 1/3 1:17:25 Andrea Montanari - Algorithms and computational phase transitions in low-rank estimation 1:13:06 IMS Medallion Lecture: "DNA Copy Number Profiling from Bulk Tissues to Single Cells", Nancy Zhang 1:08:19 Surprises in High-Dimensional (Overparameterized) Linear Classification 52:41 Optimal Iterative Algorithms for Problems With Random Data 1:02:50 Computational Barriers in Statistical Estimation and Learning 59:11 Optimal Iterative Algorithms for Problems With Random Data (continued) 45:16 Tractability And Overparametrization In Some Simple Models 48:52 Analysis of Algorithms on Dense Matrices using Approximate Message Passing 1:23:00 ICTP-SISSA Colloquium: "What is Machine Learning, And What We Don't Understand About It" 14:11 The estimation error of general first order methods 53:39 The generalization error of overparametrized models - Andrea Montanari (Stanford) MAD+ 24 Jun 2020 54:21 Exact Asymptotics and Universality for Gradient Flows and Empirical Risk Minimizers 57:46 IMS Blackwell Lecture: “Estimating the mean of a random vector” Gabor Lugosi 1:07:25 Andrea Montanari on "Phase transitions in semi-definite relaxations" More results