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07/13/2023
Sequential Monte Carlo Learning for Time Series Structure Discovery
This paper presents a new approach to automatically discovering accurate...
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02/24/2022
Estimators of Entropy and Information via Inference in Probabilistic Models
Estimating information-theoretic quantities such as entropy and mutual i...
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08/16/2021
Hierarchical Infinite Relational Model
This paper describes the hierarchical infinite relational model (HIRM), ...
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10/07/2020
SPPL: Probabilistic Programming with Fast Exact Symbolic Inference
We present the Sum-Product Probabilistic Language (SPPL), a new probabil...
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03/08/2020
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
This paper introduces a new algorithm for the fundamental problem of gen...
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01/13/2020
Optimal Approximate Sampling from Discrete Probability Distributions
This paper addresses a fundamental problem in random variate generation:...
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07/14/2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
We present new techniques for automatically constructing probabilistic p...
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02/26/2019
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
The objective of goodness-of-fit testing is to assess whether a dataset ...
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10/18/2017