Bayesian Synthesis Of Probabilistic Programs For Automatic Data Modeling

Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling

Feras Saad: "Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling"

PROBPROG Conference

Ulrich Schaechtle: Automated data modeling for science via Bayesian synthesis

PROBPROG Conference

Panel: Probabilistic Programming in the Field - Bayesian Data Modeling

PROBPROG Conference

Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations

PyMC Developers

Towards the Automated Synthesis of Probabilistic Programs

Simons Institute

Christopher Fonnesbeck - Bayesian Non-parametric Models for Data Science using PyMC3 - PyCon 2018

Feras Saad MIT CICS Seminar

Scientific Computing and Artificial Intelligence

The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)

PyMC Developers

"Bayesian Methods and Probabilistic Models" with Allen Downey

Association for Computing Machinery (ACM)

Bayesian Data Science Two Ways: Simulation and Probabilistic Programming | SciPy 2018 Tutorial

[Bayesian Synthesis Models #1] Generating synthetic values for sensitive variables part 2

Jingchen (Monika) Hu

Posner Lecture: Probabilistic Machine Learning - Foundations and Frontiers

Microsoft Research

Sarah Chasins: "Data-Driven Synthesis of Full Probabilistic Programs"

PROBPROG Conference

The Power of Probabilistic Programming with Ben Vigoda - #33

The TWIML AI Podcast with Sam Charrington

Generative probabilistic programming: applications and new ideas

Microsoft Research

Probabilistic programming and meta-programming in Clojure - Vikash Mansinghka

MIA: Alp Kucukelbir, Automated inference & probabilistic programming; Rajesh Ranganath, PGMs

Broad Institute