A Probabilistic Programming Approach To Probabilistic Data Analysis
Authors: Feras Saad, Vikash K. Mansinghka
NeurIPS 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | empirical illustrations of the efficacy of the framework for analyzing a real-world database of Earth satellites.Second, it reports the lines of code and accuracy of CGPMs compared with baseline solutions from standard machine learning libraries. |
| Researcher Affiliation | Academia | Feras Saad MIT Probabilistic Computing Project fsaad@mit.edu Vikash Mansinghka MIT Probabilistic Computing Project vkm@mit.edu |
| Pseudocode | Yes | Algorithm 2a simulate for CGPMs in a probabilistic programming environment.Algorithm 2b logpdf for CGPMs in a probabilistic programming environment.Algorithm 3a simulate in a directed acyclic network of CGPMs.Algorithm 3b logpdf in a directed acyclic network of CGPMs.Algorithm 3c Weighted forward sampling in a directed acyclic network of CGPMs. |
| Open Source Code | No | The paper references Bayes DB [10] and Venture Script [8], which are platforms used, but it does not provide a direct link or explicit statement for the open-sourcing of the specific code developed for the methodology in this paper. |
| Open Datasets | Yes | a database of 1163 satellites maintained by the Union of Concerned Scientists [12].U. of Concerned Scientists. UCS Satellite Database, 2015. |
| Dataset Splits | No | The paper mentions "data_train" and "data_test" but does not provide specific details on validation splits (e.g., percentages, sample counts, or methodology for generating them). |
| Hardware Specification | No | The paper does not provide any specific hardware details (e.g., GPU/CPU models, memory, or cloud computing instance types) used for running its experiments. |
| Software Dependencies | No | The paper mentions "Venture Script" and "Bayes DB" but does not provide specific version numbers for these or any other software dependencies crucial for replication. |
| Experiment Setup | Yes | INITIALIZE 10 MODELS FOR satellites_hybrid; ANALYZE satellites_hybrid FOR 100 ITERATIONS; OVERRIDE GENERATIVE MODEL FOR type_of_orbit ... USING RANDOM_FOREST (num_categories = 7); OVERRIDE GENERATIVE MODEL FOR launch_mass_kg, dry_mass_kg, power_watts, perigee_km, apogee_km USING FACTOR_ANALYSIS (dimensionality = 2); |