Feras A. Saad

25 papers A* 3A 2Journal 20
YearRankTypeTitle / Venue / Authors
2026 A* conf
Efficient Online Random Sampling via Randomness Recycling.
SODA
Thomas L. Draper, Feras A. Saad
2026 J jnl
Efficient Rejection Sampling in the Entropy-Optimal Range.
IEEE Trans. Inf. Theory
Thomas L. Draper, Feras A. Saad
2025 J jnl
Efficient Online Random Sampling via Randomness Recycling.
CoRR
Thomas L. Draper, Feras A. Saad
2025 J jnl
Efficient Rejection Sampling in the Entropy-Optimal Range.
CoRR
Thomas L. Draper, Feras A. Saad
2025 J jnl
Random Variate Generation with Formal Guarantees.
CoRR
Feras A. Saad, Wonyeol Lee
2025 J jnl
Random Variate Generation with Formal Guarantees.
Proc. ACM Program. Lang.
Feras A. Saad, Wonyeol Lee
2024 J jnl
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables.
CoRR
Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
2024 J jnl
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables.
Proc. ACM Program. Lang.
Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
2024 J jnl
Programmable MCMC with Soundly Composed Guide Programs.
Proc. ACM Program. Lang.
Long Pham, Di Wang, Feras A. Saad, Jan Hoffmann
2024 J jnl
Robust Resource Bounds with Static Analysis and Bayesian Inference.
Proc. ACM Program. Lang.
Long Pham, Feras A. Saad, Jan Hoffmann
2023 J jnl
Sequential Monte Carlo Learning for Time Series Structure Discovery.
CoRR
Feras A. Saad, Brian J. Patton, Matthew D. Hoffman, Rif A. Saurous, Vikash K. Mansinghka
2022 J jnl
Estimators of Entropy and Information via Inference in Probabilistic Models.
CoRR
Feras A. Saad, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2021 J jnl
Hierarchical Infinite Relational Model.
CoRR
Feras A. Saad, Vikash K. Mansinghka
2021 A conf
Hierarchical infinite relational model.
UAI
Feras A. Saad, Vikash K. Mansinghka
2021 A* conf
SPPL: probabilistic programming with fast exact symbolic inference.
PLDI
Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka
2020 J jnl
Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations.
CoRR
Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka
2020 J jnl
Optimal Approximate Sampling from Discrete Probability Distributions.
CoRR
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
2020 J jnl
Optimal approximate sampling from discrete probability distributions.
Proc. ACM Program. Lang.
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
2020 J jnl
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions.
CoRR
Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
2019 A conf
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions.
AISTATS
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka
2019 J jnl
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions.
CoRR
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka
2019 J jnl
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling.
CoRR
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
2019 J jnl
Bayesian synthesis of probabilistic programs for automatic data modeling.
Proc. ACM Program. Lang.
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
2019 A* conf
Gen: a general-purpose probabilistic programming system with programmable inference.
PLDI
Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka
2017 J jnl
A Bayesian Nonparametric Method for Clustering Imputation, and Forecasting in Multivariate Time Series.
CoRR
Feras A. Saad, Vikash K. Mansinghka