Variational Inference and Optimization I by Arto Klami Published 2019-12-04 Download video MP4 360p Download video MP4 720p Recommendations 1:26:40 Variational Inference and Probabilistic Programming I by Andrés R. Masegosa & Thomas D. Nielsen 2:11:13 Introduction to Probabilistic Models by Silja Renooij 49:20 10. The Four Fundamental Subspaces 12:50 I visited the world's hardest math class 2:07:20 "Bayesian Neural Networks (with VI flavor)" by Yingzhen Li 56:16 * Boss Fight * Boss General | 1vs7 Hard Random Generals | Generals Zero Hour 1:44:27 Variational Inference and Optimization 1 by Helge Langseth, Andrés R. Masegosa and Thomas D. Nielsen 1:11:16 Lecture 6: Backpropagation 19:49 Separating AI Hype from AI Reality 2:24:19 Causal Inference by Adèle H. Ribeiro 59:27 ZhengTong Chern-Weil Symposium: Martin Hairer (Imperial College London) 3:15:38 What is ChatGPT doing...and why does it work? 2:50:51 "Bayesian Neural Networks (advanced)" by José Miguel Hernández–Lobato 1:00:49 Keynote: "Better priors for everyone" by Arto Klami 1:39:15 Variational Inference and Optimization 2 by Helge Langseth, Andrés R. Masegosa and Thomas D. Nielsen 1:45:34 Computational Finance: Lecture 11/14 (Hedging and Monte Carlo Greeks) 1:47:58 Probabilistic Modeling and Programming Tutorial by Andrés R. Masegosa and Thomas D. Nielsen 12:54 Що знаходиться на краю Всесвіту? Чи існує у Всесвіту кордон? 24:34 Red Alert 2 | Expanding Out | (7 vs 1 + Superweapons) 3:57:55 Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 2/2 Similar videos 1:44:26 Variational Inference and Optimization II by Arto Klami 26:59 AIHelsinki 15.12.2016: Arto Klami 40:19 "What is Probabilistic AI?" by Arto Klami 35:53 A Generalization Bound for Online Variational Inference 50:16 Lecture9-Variational Bayes-I 05:01 Understanding Variational Inference in Function-Space 17:25 Deep Learning Lecture 11.2 - Variational Inference 1:16:33 Variational Inference and Probabilistic Programming II by Andrés R. Masegosa & Thomas D. Nielsen 1:35:35 Importance Weighted Hierarchical Variational Inference 54:31 ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models 19:25 variational inference Part 5 ( Derivation 2 ) 58:05 Uncertainty Modeling in AI | Lecture 10 (Part 2): Variational inference 1:14:39 #103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami 15:51 Arto Klami, FCAI/UH: Virtual Laboratories: AI-assistance in Process Automation and Research 29:48 Arto Klami : Markov Chain Monte Carlo on Monge Patches 48:20 Michael Jordan: "Optimization & Dynamical Systems: Variational, Hamiltonian, & Symplectic Perspe..." 34:00 Easy and Privacy-preserving Modeling Tools (or ¨I want you to build your own AI!¨) 2:18:42 Bayesian Workflow by Andrew R. Johnson More results