Gaussian Regularization of the Pseudospectrum and Numerical Linear Algebra Published 2020-10-21 Download video MP4 360p Download video MP4 720p Recommendations 48:42 Mahdi Soltanolkotabi: Foundations for feature learning via gradient descent (USC) 1:02:54 Sharp Thresholds for Random Subspaces, and Applications 1:04:04 Locality I 1:11:01 Algebraic Codes/Algorithms I 57:18 Discrepancy Minimization via Regularization 50:32 On Evaluating Adversarial Robustness 50:17 Jonathan Mugan: RLlib, a Python Library for Deep Hierarchical Multi-Agent Reinforcement Learning 1:02:17 Quantum LDPC Codes I 10:36 LLM vs NLP | Kevin Johnson 1:09:44 Intro to Quantum Codes 1:00:24 Algebraic Codes/Algorithms II 49:42 Oscar Mickelin, A fast algorithm for Fourier-Bessel expansions, 2024.01.30 1:06:35 Recent Advances in Multiplicity Codes 1:13:30 HoloTube: “Bound on thermalization from hydrodynamic fluctuations” by Luca Delacretaz (Chicago) 55:39 Sparsifying Generalized Linear Models 1:53:57 Arnab Bhattacharyya: TV distance estimation is as easy as probabilistic inference 1:02:29 Quantum LDPC Codes II 1:00:32 Philip Beltracchi (University of Utah, USA) "Physical interpretation of the Newman-Janis algorithm" Similar videos 33:41 Matrix Martingales in Randomized Numerical Linear Algebra 28:58 Lecture 23:"Randomized Numerical Linear Algebra:a)L2 regression using RP" 39:46 Miles Lopes -- Error Estimation for Randomized Numerical Linear Algebra: Bootstrap Methods 31:33 Randomized Algorithms in Linear Algebra 42:51 04Chung, Julianne 1:12:15 Talk by Nikhil Srivastava (University of California, Berkeley) 45:40 Recent free probability methods for large random matrices: computational aspects for non standard... 24:26 Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties 13:49 Pseudopectrum 46:51 Nikhil Srivastava (UC Berkeley): Quantitative Diagonalizability 34:41 Frantisek Ruzicka - Pseudospectra in quantum mechanics 1:05:30 Yan Fyodorov, On eigenvector statistics in non-normal random matrices 15:51 Approx&Stab - 5. Spectra and their approximation (C5-13): pseudospectra I 1:05:57 Pseudospectral Shattering and Diagonalization I Nikhil Srivastava I COLOQUIO CIMAT-DEMAT 06:29 Eigenvalue conditioning 1:32:42 Linear Algebra-6（13/09） 46:27 Anna Gilbert | Sparse Metric Repair 1:06:03 Pseudospectral Shattering, Sign Function, and Diagonalization in Nearly Matrix Multiplication Time 50:05 Linear Algebra, Lecture 2 (part 2) More results