Saad, Feras

7 publications

ICMLW 2024 Learning Generative Population Models from Multiple Clinical Datasets via Probabilistic Programming João Loula, Katherine M. Collins, Ulrich Schaechtle, Joshua B. Tenenbaum, Adrian Weller, Feras Saad, Timothy J. O'Donnell, Vikash Mansinghka

ICML 2023 Sequential Monte Carlo Learning for Time Series Structure Discovery Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka

AISTATS 2022 Estimators of Entropy and Information via Inference in Probabilistic Models Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka

AISTATS 2020 The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions Feras Saad, Cameron Freer, Martin Rinard, Vikash Mansinghka

AISTATS 2018 Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series Feras Saad, Vikash Mansinghka

AISTATS 2017 Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-Parametric Bayes Feras Saad, Vikash Mansinghka

NeurIPS 2016 A Probabilistic Programming Approach to Probabilistic Data Analysis Feras Saad, Vikash K Mansinghka