Feras A. Saad

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Sequential Monte Carlo

Probability Distribution

Generative Model

Top Venues

Proc. ACM Program. Lang.

Publications

Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Long Pham, Feras A. Saad, Jan Hoffmann
Robust Resource Bounds with Static Analysis and Bayesian Inference. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. CoRR (2024)
Feras A. Saad, Brian J. Patton, Matthew D. Hoffman, Rif A. Saurous, Vikash K. Mansinghka
Sequential Monte Carlo Learning for Time Series Structure Discovery. CoRR (2023)
Feras A. Saad, Marco Cusumano-Towner, Vikash K. Mansinghka
Estimators of Entropy and Information via Inference in Probabilistic Models. CoRR (2022)
Feras A. Saad, Vikash K. Mansinghka
Hierarchical infinite relational model. UAI (2021)
Feras A. Saad, Vikash K. Mansinghka
Hierarchical Infinite Relational Model. CoRR (2021)
Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka
SPPL: probabilistic programming with fast exact symbolic inference. PLDI (2021)
Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka
Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations. CoRR (2020)
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
Optimal approximate sampling from discrete probability distributions. Proc. ACM Program. Lang. 4 (POPL) (2020)
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
Optimal Approximate Sampling from Discrete Probability Distributions. CoRR (2020)
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. CoRR (2020)
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
Bayesian synthesis of probabilistic programs for automatic data modeling. Proc. ACM Program. Lang. 3 (POPL) (2019)
Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka
Gen: a general-purpose probabilistic programming system with programmable inference. PLDI (2019)
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling. CoRR (2019)
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. AISTATS (2019)
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. CoRR (2019)
Feras A. Saad, Vikash K. Mansinghka
A Bayesian Nonparametric Method for Clustering Imputation, and Forecasting in Multivariate Time Series. CoRR (2017)