490 citations · 1k across the 74 of their papers we have counts for
4 papers · 1 filter
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series
Feras A. Saad, Vikash K. Mansinghka
This article proposes a Bayesian nonparametric method for forecasting, imputation, and clustering in sparsely observed, multivariate time series data. The method is appropriate for…
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco F. Cusumano-Towner, Vikash K. Mansinghka
Approximate probabilistic inference algorithms are central to many fields. Examples include sequential Monte Carlo inference in robotics, variational inference in machine learning,…
Probabilistic programs for inferring the goals of autonomous agents
Marco F. Cusumano-Towner, Alexey Radul, David Wingate +1
Intelligent systems sometimes need to infer the probable goals of people, cars, and robots, based on partial observations of their motion. This paper introduces a class of probabil…
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
Feras Saad, Leonardo Casarsa, Vikash Mansinghka
Databases are widespread, yet extracting relevant data can be difficult. Without substantial domain knowledge, multivariate search queries often return sparse or uninformative resu…