Probability as Logical Inference: a dramatic reading of E.T. Jaynes' textbook - Benji Metha
From the January 2024 Machine Learning & AI Meetup: www.meetup.com/machine-learning-ai-meetup/events/293542342/
Talk Description: What is probability? When we say an event has a probability of 0.9, what do we mean? Ask a Bayesian and a Frequentist, and they'll probably (whatever that means) give you two very different answers. In this talk, I present an interpretation from 20th century physicist E. T. Jaynes, wherein probabilities are treated as an extension of the concepts of "true" and "false" to situations where not all information is known -- with some delightful consequences.
Speaker Bio: Benji Metha is a late-stage astronomy PhD student at the University of Melbourne. He is a pioneer in using methods from spatial statistics for analysis of high-resolution galaxy data, and is an outspoken advocate for Doing Maths Right™.
Link to Slides: https://drive.google.com/file/d/1SD67s0WlC1ZsdQksKOlkALIH6mltra3-/view?usp=sharing
Видео Probability as Logical Inference: a dramatic reading of E.T. Jaynes' textbook - Benji Metha канала Machine Learning and AI Meetup
Talk Description: What is probability? When we say an event has a probability of 0.9, what do we mean? Ask a Bayesian and a Frequentist, and they'll probably (whatever that means) give you two very different answers. In this talk, I present an interpretation from 20th century physicist E. T. Jaynes, wherein probabilities are treated as an extension of the concepts of "true" and "false" to situations where not all information is known -- with some delightful consequences.
Speaker Bio: Benji Metha is a late-stage astronomy PhD student at the University of Melbourne. He is a pioneer in using methods from spatial statistics for analysis of high-resolution galaxy data, and is an outspoken advocate for Doing Maths Right™.
Link to Slides: https://drive.google.com/file/d/1SD67s0WlC1ZsdQksKOlkALIH6mltra3-/view?usp=sharing
Видео Probability as Logical Inference: a dramatic reading of E.T. Jaynes' textbook - Benji Metha канала Machine Learning and AI Meetup
Показать
Комментарии отсутствуют
Информация о видео
10 февраля 2024 г. 10:30:47
00:15:02
Другие видео канала
![FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence-Covered by Adel Foda](https://i.ytimg.com/vi/gSMI5wZHe9w/default.jpg)
![Mat Kelcey — Deep RL for Robotics (FIXED)](https://i.ytimg.com/vi/EydQxFR4pzU/default.jpg)
![A Framework for Understanding Unintended Consequences of Machine Learning — Laura Summers](https://i.ytimg.com/vi/IRWaE1u9mDM/default.jpg)
![Mostafa Rizk - Teaching Autonomous Agents to Work Together](https://i.ytimg.com/vi/ToVLiHXO7XU/default.jpg)
![Audrey Lewis - Generating Process Discovery Workflows from Model-Free Reinforcement Learning Agents](https://i.ytimg.com/vi/seFKiLatpSE/default.jpg)
![Using Cross Entropy for Metric Learning — Mat Kelcey — May Meetup](https://i.ytimg.com/vi/Jb4Ewl5RzkI/default.jpg)
![AI: Turning Points and the Road Ahead: The Journey Thus Far - Dr. Lito Cruz](https://i.ytimg.com/vi/5fkJMFwr21E/default.jpg)
![You Should Know About: Compressive Sensing - Alex Tritt](https://i.ytimg.com/vi/lHD3-qVde24/default.jpg)
![The Map Interpretation of Attention — Mat Kelcey](https://i.ytimg.com/vi/26SzCzf-SaI/default.jpg)
![Bayesian Programming with JAX + NumPyro — Andy Kitchen](https://i.ytimg.com/vi/CecuWGpoztw/default.jpg)
![Mat Kelcey — Deep RL for Robotics](https://i.ytimg.com/vi/d2FP1CMEI94/default.jpg)
![Causal Induction from Visual Observations for Goal Directed Tasks — Lizzie Silver](https://i.ytimg.com/vi/cDXaAq0noPs/default.jpg)
![Inferencing and training LLMs with less GPUs - Hung Tran](https://i.ytimg.com/vi/BTs9qd_5Xmk/default.jpg)
![Practical Advice for Working with Large Language Models - Ned Letcher](https://i.ytimg.com/vi/FYyDw_s-Zmo/default.jpg)
![Causal Wizard: Helping subject matter experts get causal insights from historical data](https://i.ytimg.com/vi/Q2TEdpYO-mw/default.jpg)
![Elizabeth Silver — Causality and Causal Discovery](https://i.ytimg.com/vi/51n9XsDSNps/default.jpg)
![Hindsight Experience Replay — Covered by Kristian Holsheimer](https://i.ytimg.com/vi/9Nl49LLV62w/default.jpg)
![June Melbourne MLAI Meetup](https://i.ytimg.com/vi/oRkdLYGLk00/default.jpg)
![Improving Generalization in Deep Reinforcement Learning via SLC Weightings](https://i.ytimg.com/vi/iy3_Lqv9mPg/default.jpg)
![Exploring the Universe with Machine Learning - Prakrut Chaubal](https://i.ytimg.com/vi/rBB4XjkmA4g/default.jpg)