Kevin Winner, Dan Sheldon,Probabilistic Inference For Latent Count Models

Kevin Winner, Dan Sheldon,"Probabilistic Inference for Latent Count Models"

Kevin Winner, Exact Inference for Integer Latent-Variable Models

Kevin Winner: Inference and Learning with Generating Functions for Population Dynamics

Garrett Bernstein & Dan Sheldon, "Consistently Estimating Markov Chains w/ Noisy Aggregate...

Dan Sheldon, "Algorithmic and Big Data Challenges in Ecology and Conservation"

Kimberly Sellers - Analyzing Count Data Expressing Data Dispersion

Lander Analytics

Variational Methods: How to Derive Inference for New Models (with Xanda Schofield)

Jordan Boyd-Graber

Daniel Sheldon: Inference and Privacy

Scalable Inference and Learning for High-Level Probabilistic Models

Locally Private Bayesian Inference for Count Models

Simons Institute

inferenceBasics

Vincent Warmerdam - The Duct Tape of Heroes: Bayes Rule

Probabilistic ML - Lecture 8 - Learning Representations

Tübingen Machine Learning

Colin Howson - Should Probabilities by Countably Additive

Western University