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Paidi Creed

2 accepted papers

2022

Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

ICML 2022oral

Learning meaningful representations of data that can address challenges such as batch effect correction and counterfactual inference is a central problem in many domains including computational biology. Adopting a Conditional VAE framework, we show that marginal independence between the representati…

2021

Directed Graph Embeddings in Pseudo-Riemannian Manifolds

ICML 2021spotlight

The inductive biases of graph representation learning algorithms are often encoded in the background geometry of their embedding space. In this paper, we show that general directed graphs can be effectively represented by an embedding model that combines three components: a pseudo-Riemannian metric…