Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Published 2018-10-09 Download video MP4 360p Download video MP4 720p Recommendations 09:42 Marginal Singularity, and the Benefits of Labels in Covariate-Shift 1:04:08 Lenka Zdeborová - Statistical Physics of Machine Learning (May 1, 2024) 23:47 Gaussian Processes 21:58 StatQuest: Principal Component Analysis (PCA), Step-by-Step 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 1:00:49 The Art of Code - Dylan Beattie 11:51 Yanis Varoufakis: 'The European project is already finished’ 1:03:19 Best Female Vocal Drum and Bass Mix 2017 15:52 Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam) 1:15:05 Deep Chill Music for Focus and Stress Relief 17:34 Neural Networks Pt. 2: Backpropagation Main Ideas 15:34 Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning 15:41 SHAP with Python (Code and Explanations) 1:06:03 Deep Programming - Modern VIBE 🛸 #28 1:27:41 Programming in Modern C with a Sneak Peek into C23 - Dawid Zalewski - ACCU 2023 1:15:40 Building makemore Part 2: MLP 1:04:53 Multiple Systems | Understanding Quantum Information & Computation: Lesson 02 38:19 MS DOS Tunes | Medieval Melodies 04:18 'There's more out there than just Nvidia,' says Kevin Mahn 41:54 Edge Devices and LLMs: What's Ahead for AI Similar videos 15:37 MSML2020 Paper Presentation - Florent Krzakala 58:19 Florent Krzakala - On statistical physics and inference problems 1:13:09 Lenka Zdeborova - Phase transition in regression and simple neural networks 38:32 Phase Retrieval in High Dimensions: Statistical and Computational Phase Transitions 43:28 Information-Theoretic Bounds and Phase Transitions in Community Detection and High-Dimensional Clust 1:00:24 Phase transitions in hard core models I 35:32 The All-or-Nothing Phenomenon: a Peculiar Phase Transition in Sparse High-Dimensional Inference.. 14:59 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices 1:24:01 UW CSE546 Machine Learning | class 4 | Generalized Linear Model 10:44 Fundamental Limits of Weak Recovery with Applications to Phase Retrieval 1:03:42 Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning 1:16:58 Hella Brand New AI Papers - June 15, 2024 53:20 Lenka Zdeborova: Statistical physics of learning a rule: Decades old story continued 1:23:56 GECCO2021 — Keynote — Marc Mézard — Statistical Physics and Statistical Inference 47:12 23 20150826 Lenka Zdeborova 49:58 Session 4: High-dimensional Statistics 1:13:29 Colloquium: Sloppy models, differential geometry, and why science works. 53:26 Yihong Wu - Yale University More results