research
∙
12/05/2022
Certifying Fairness of Probabilistic Circuits
With the increased use of machine learning systems for decision making, ...
share
research
∙
11/08/2021
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
Probabilistic circuits (PCs) are a class of tractable probabilistic mode...
research
∙
02/11/2021
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
Circuit representations are becoming the lingua franca to express and re...
research
∙
09/18/2020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
Machine learning systems are increasingly being used to make impactful d...
research
∙
06/29/2020
Handling Missing Data in Decision Trees: A Probabilistic Approach
Decision trees are a popular family of models due to their attractive pr...
research
∙
10/05/2019
On Tractable Computation of Expected Predictions
Computing expected predictions has many interesting applications in area...
research
∙
06/10/2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
As machine learning is increasingly used to make real-world decisions, r...
research
∙
03/05/2019
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
While discriminative classifiers often yield strong predictive performan...
research
∙
05/29/2018