Stochastic Variance Reduction Methods for Policy Evaluation Published 2017-02-13 Download video MP4 360p Recommendations 45:26 Interactive Clustering 56:25 The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry & ... 54:49 Algorithmic Trading and Machine Learning 51:31 6.4 SGD and SVRG 19:14 Monte Carlo Methods : Data Science Basics 1:29:49 Pairings in Cryptography 1:17:55 Optimization I 1:03:45 Nonparametric Bayesian Methods: Models, Algorithms, and Applications II 1:08:14 Cryptography: From Mathematical Magic to Secure Communication 1:19:34 Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018) 23:47 Gaussian Processes 1:21:19 Why Only Us: Language and Evolution 1:08:53 Polar Codes I 1:06:01 Nonparametric Bayesian Methods: Models, Algorithms, and Applications I 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:33:01 Dark secrets: what science tells us about the hidden Universe 1:20:57 Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 1:08:25 The Mathematics of Lattices I 19:50 An introduction to Policy Gradient methods - Deep Reinforcement Learning Similar videos 12:28 July 25th 9 An Improved Convergence Analysis of Stochastic Variance Reduced Policy Gradient 11:03 Online Variance Reduction for Stochastic Optimization 44:45 20th IMA Leslie Fox Prize Event - Accelerating Variance-Reduced Stochastic Gradient Methods 32:36 Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching 09:11 Monte Carlo Methods: Methods of Variance Reduction 18:55 [W13-6] Policy gradient and variance reduction 16:35 MC simulations: 3.2 Control variate 44:01 Frederic Legoll: Variance reduction approaches for stochastic homogenization 02:51 NIPS 2017 Spotlight: Bregman Divergence for Stochastic Variance Reduction 59:22 IEE 475: Lecture K1 (2019-11-19) - Variance Reduction Techniques, Part 1 03:08 NIPS 2018: Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization 11:30 Stabalized SVRG: Simple Variance Reduction for Nonconvex Optimization 59:04 IEE 475: Lecture K1 (2019-11-19) - Variance Reduction Techniques, Part 1 [slides with audio overlay] 14:56 Raymond Kim - "Variance Reduction in Global Illumination with Monte Carlo Methods" 27:33 Variance Reduction and Simulation Software 1:08:11 IEE 475: Lecture K2 (2019-11-21) - Variance Reduction Techniques, Part 2 1:08:04 IEE 475: Lecture K2 (2019-11-21) - Variance Reduction Techniques, Part 2 [slides with audio overlay] 56:31 Deep RL Bootcamp Lecture 1: Motivation + Overview + Exact Solution Methods 1:12:43 Introduction to large-scale optimization - Part1 More results