Feras Saad

According to our database, Feras Saad authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Resource Bounds with Static Analysis and Bayesian Inference.

Long Pham, Feras A. Saad, Jan Hoffmann

Proc. ACM Program. Lang., 2024

Programmable MCMC with Soundly Composed Guide Programs.

Long Pham, Di Wang, Feras A. Saad, Jan Hoffmann

Proc. ACM Program. Lang., 2024

GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables.

Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2024

Scalable Spatiotemporal Prediction with Bayesian Neural Fields.

Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman

CoRR, 2024

2023

Sequential Monte Carlo Learning for Time Series Structure Discovery.

Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka

Proceedings of the International Conference on Machine Learning, 2023

2022

Scalable Structure Learning, Inference, and Analysis with Probabilistic Programs

Feras Saad

PhD thesis, 2022

Estimators of Entropy and Information via Inference in Probabilistic Models.

Feras Saad, Marco F. Cusumano-Towner, Vikash Mansinghka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Hierarchical infinite relational model.

Feras A. Saad, Vikash K. Mansinghka

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

SPPL: probabilistic programming with fast exact symbolic inference.

Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

2020

Optimal approximate sampling from discrete probability distributions.

Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2020

Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations.

Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka

CoRR, 2020

The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions.

Feras Saad, Cameron E. Freer, Martin C. Rinard, Vikash Mansinghka

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Bayesian synthesis of probabilistic programs for automatic data modeling.

Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2019

Gen: a general-purpose probabilistic programming system with programmable inference.

Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions.

Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series.

Feras Saad, Vikash Mansinghka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A Bayesian Nonparametric Method for Clustering Imputation, and Forecasting in Multivariate Time Series.

Feras A. Saad, Vikash K. Mansinghka

CoRR, 2017

Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes.

Feras Saad, Leonardo Casarsa, Vikash Mansinghka

CoRR, 2017

Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes.

Feras Saad, Vikash Mansinghka

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Detecting Dependencies in High-Dimensional, Sparse Databases Using Probabilistic Programming and Non-parametric Bayes.

Feras Saad, Vikash Mansinghka

CoRR, 2016

Probabilistic Data Analysis with Probabilistic Programming.

Feras Saad, Vikash Mansinghka

CoRR, 2016

A Probabilistic Programming Approach To Probabilistic Data Analysis.

Feras Saad, Vikash K. Mansinghka

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016