Feras Saad

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 10

Top Topics

Sequential Monte Carlo

Inclusion Dependencies

Probabilistic Model

Top Venues

Publications

Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman
Scalable Spatiotemporal Prediction with Bayesian Neural Fields. CoRR (2024)
Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka
Sequential Monte Carlo Learning for Time Series Structure Discovery. ICML (2023)
Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka
Estimators of Entropy and Information via Inference in Probabilistic Models. AISTATS (2022)
Feras Saad, Cameron E. Freer, Martin Rinard, Vikash Mansinghka
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. AISTATS (2020)
Feras Saad, Vikash Mansinghka
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series. AISTATS (2018)
Feras Saad, Leonardo Casarsa, Vikash K. Mansinghka
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes. CoRR (2017)
Feras Saad, Vikash Mansinghka
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes. AISTATS (2017)
Feras Saad, Vikash K. Mansinghka
A Probabilistic Programming Approach To Probabilistic Data Analysis. NIPS (2016)
Feras Saad, Vikash K. Mansinghka
Detecting Dependencies in High-Dimensional, Sparse Databases Using Probabilistic Programming and Non-parametric Bayes. CoRR (2016)
Feras Saad, Vikash K. Mansinghka
Probabilistic Data Analysis with Probabilistic Programming. CoRR (2016)