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Feras A. Saad
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Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
MF Cusumano-Towner, FA Saad, AK Lew, VK Mansinghka
PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming …, 2019
2052019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
FA Saad, MF Cusumano-Towner, U Schaechtle, MC Rinard, ...
Proceedings of the ACM on Programming Languages 3 (POPL), 37, 2019
642019
Elements of a Stochastic 3D Prediction Engine in Larval Zebrafish Prey Capture
AD Bolton, M Haesemeyer, J Jordi, U Schaechtle, FA Saad, ...
eLife 8, e51975, 2019
382019
SPPL: Probabilistic Programming with Fast Exact Symbolic Inference
FA Saad, MC Rinard, VK Mansinghka
PLDI 2021: Proceedings of the 42nd ACM SIGPLAN International Conference on …, 2021
312021
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series
FA Saad, VK Mansinghka
AISTATS 2018: Proceedings of the 21st International Conference on Artificial …, 2018
24*2018
A Probabilistic Programming Approach to Probabilistic Data Analysis
F Saad, VK Mansinghka
NIPS 2016: Advances in Neural Information Processing Systems 29, 2011-2019, 2016
232016
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
F Saad, V Mansinghka
AISTATS 2017: Proceedings of the 20th International Conference on Artificial …, 2017
152017
Probabilistic data analysis with probabilistic programming
F Saad, V Mansinghka
arXiv preprint arXiv:1608.05347, 2016
112016
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
FA Saad, CE Freer, NL Ackerman, VK Mansinghka
AISTATS 2019: Proceedings of the 22nd International Conference on Artificial …, 2019
102019
Optimal Approximate Sampling from Discrete Probability Distributions
FA Saad, CE Freer, MC Rinard, VK Mansinghka
Proceedings of the ACM on Programming Languages 4 (POPL), 36, 2020
92020
Time Series Structure Discovery via Probabilistic Program Synthesis
U Schaechtle, F Saad, A Radul, V Mansinghka
arXiv preprint arXiv:1611.07051, 2016
92016
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
FA Saad, CE Freer, MC Rinard, VK Mansinghka
AISTATS 2020: Proceedings of the 23rd International Conference on Artificial …, 2020
82020
Hierarchical Infinite Relational Model
FA Saad, VK Mansinghka
UAI 2021: Proceedings of the 37th Conference on Uncertainty in Artificial …, 2021
62021
Sequential Monte Carlo Learning for Time Series Structure Discovery
F Saad, B Patton, MD Hoffman, RA Saurous, V Mansinghka
ICML 2023: Proceedings of the 40th International Conference on Machine …, 2023
52023
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
F Saad, L Casarsa, V Mansinghka
arXiv preprint arXiv:1704.01087, 2017
42017
Estimators of Entropy and Information via Inference in Probabilistic Models
F Saad, M Cusumano-Towner, V Mansinghka
AISTATS 2022: Proceedings of the 25th International Conference on Artificial …, 2022
32022
Scalable Structure Learning, Inference, and Analysis with Probabilistic Programs
FAK Saad
Massachusetts Institute of Technology, 2022
12022
Bayesian AutoML for Databases via the InferenceQL Probabilistic Programming System
U Schaechtle, C Freer, Z Shelby, F Saad, V Mansinghka
AutoML 2022: First Conference on Automated Machine Learning (Late-Breaking …, 2022
12022
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
F Saad, J Burnim, C Carroll, B Patton, U Köster, RA Saurous, M Hoffman
arXiv preprint arXiv:2403.07657, 2024
2024
Goodness-of-Fit Tests for High-Dimensional Discrete Distributions with Application to Convergence Diagnostics in Approximate Bayesian Inference
FA Saad, CE Freer, NL Ackerman, VK Mansinghka
AABI 2018: 1st Symposium on Advances in Approximate Inference, 2018
2018
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