Courses, Talks, and Seminars

Lecture of Professor Judea Pearl “What is Causal Inference”

Science vs. Data: Contesting the Soul of Data Science

“Science vs. Data: Contesting the Soul of Data Science” is a talk of Professor Judea Pearl, given on July 30, 2020.  

Plenary 2: The Mathematics of Causal Inference: with Reflections on Machine Learning

Professor Judea Pearl wrote:In my Microsoft lecture here, I talked about statistics as the “calculus of shadows” and causality as a 3D calculus. I can think of several 4D’s and 5D’s, like object-based and agent-based calculi. But...

THE SILENT HISTORY OF CAUSE AND EFFECT

Judea Pearl UCLA HPASS Los Angeles, CA Outline The Ubiquity of causal thinking in ethics and science, from ancient times to modernity. Why it kept silent till 1920. What prevented statisticians, economists, social and health scientists from answering...

Judea Pearl, “The Mathematics of Cause and Effect”

Professor Judea Pearl from UCLA presented at a Seminar series event for the Institute for Data Sciences and Engineering at Columbia University. His presentation on November 4, 2013 was titled “The Mathematics of Cause and Effect”.   References https://datascience.columbia.edu/seminarvideo_judeapearl

Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI

Judea Pearl is a professor at UCLA and a winner of the Turing Award, that’s generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has...

Keynote: Judea Pearl – The New Science of Cause and Effect, Pydata, LA 2018

The talk will explain why data science should embrace an engine for processing cause-effect relationships. I will describe the structure of this engine, how it has revolutionized the data-intensive sciences and how it is about to revolutiones machine...

Why19 at Stanford, March 2019

Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI AAAI Spring Symposium, March 25-27, 2019, Stanford, CA Motivation In recent years, Artificial Intelligence and Machine Learning have received enormous attention from the general...