List Decodable Mean Estimation in Nearly Linear Time Published 2020-10-30 Download video MP4 360p Download video MP4 720p Recommendations 27:27 Linear Regression, Clearly Explained!!! 13:16 Time Series Talk : Autocorrelation and Partial Autocorrelation 1:18:51 Session 7B - Dynamic Graphs 17:15 Logistic Regression in R, Clearly Explained!!!! 51:26 Jingyi Jessica Li, ClusterDE: a post-clustering differential expression (DE) method 1:32:35 Session 8B - Dynamic Graphs 1:29:01 Session 8C Algorithmic Game Theory 21:58 StatQuest: Principal Component Analysis (PCA), Step-by-Step 14:58 Support Vector Machines: All you need to know! 1:15:39 Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem 1:31:56 Session 5C - Graph Algorithms and Coding 1:31:56 Session 6B - Matrix Methods 1:31:08 Session 4B - Matrix Methods 42:33 TransferLab Seminar: Conditional Flow Matching - AlexTong 23:47 Gaussian Processes 15:12 StatQuest: Linear Discriminant Analysis (LDA) clearly explained. 1:34:19 Session 7A - Graph Algorithms and Graph Theory 11:48 StatQuest: t-SNE, Clearly Explained 1:15:19 Session 4C - Graph Algorithms and Coding 1:04:53 Lesson 02: Multiple Systems | Understanding Quantum Information & Computation Similar videos 23:57 STOC 2022 - Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation 21:11 STOC 2022 – List Decodable Covariance Estimation 1:02:25 Pravesh Kothari on List-Decodable Linear Regression 15:03 List Decodable Subspace Recovery 52:17 Samuel Hopkins (Berkeley) -- How to Estimate the Mean of a Random Vector in Polynomial Time 49:01 Robust List Decoding of Spherical Gaussians 56:57 2021 Stochastics and Statistics Seminar - Jerry Li 48:11 Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation 22:38 LDPC Codes Achieve List Decoding Capacity 1:36:31 Sub-Linear Time Algorithms: Fast, Cheap and (Only a Little) Out of Control 11:51 Iterative Methods and High-Dimensional Statistics 20:00 Session 10C – Talk 4 1:29:47 Session 1C - Learning 20:29 Session 4C - Algorithms for heavy-tailed statistics: regression, covariance estimation, and beyond 44:13 Designing Fast and Robust Learning Algorithms - Yu Cheng 50:30 Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method 46:08 Basser Seminar: Associate Professor Daniel Kane 42:32 Code-based Cryptography 1:00:46 Recent Advances in Algorithmic Heavy-Tailed Statistics More results