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05/01/2023
Computing Expected Motif Counts for Exchangeable Graph Generative Models
Estimating the expected value of a graph statistic is an important infer...
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02/15/2023
From Graph Generation to Graph Classification
This note describes a new approach to classifying graphs that leverages ...
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01/26/2023
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
Location-scale noise models (LSNMs) are a class of heteroscedastic struc...
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10/30/2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Generative models for graph data are an important research topic in mach...
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10/19/2021
Pre and Post Counting for Scalable Statistical-Relational Model Discovery
Statistical-Relational Model Discovery aims to find statistically releva...
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09/09/2021
NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge
We propose a score-based DAG structure learning method for time-series d...
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06/29/2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Recent work on graph generative models has made remarkable progress towa...
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06/04/2020
Cracking the Black Box: Distilling Deep Sports Analytics
This paper addresses the trade-off between Accuracy and Transparency for...
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04/23/2020
A Complete Characterization of Projectivity for Statistical Relational Models
A generative probabilistic model for relational data consists of a famil...
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02/26/2019
Detecting Data Errors with Statistical Constraints
A powerful approach to detecting erroneous data is to check which potent...
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07/16/2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Deep Reinforcement Learning (DRL) has achieved impressive success in man...
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07/02/2018
Inference, Learning, and Population Size: Projectivity for SRL Models
A subtle difference between propositional and relational data is that in...
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07/01/2018
Model-based Exception Mining for Object-Relational Data
This paper is based on a previous publication [29]. Our work extends exc...
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05/26/2018
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
A variety of machine learning models have been proposed to assess the pe...
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02/23/2018