Maria I. Gorinova | DeepAI

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∙ 04/14/2022

Program Analysis of Probabilistic Programs

Probabilistic programming is a growing area that strives to make statist...

0 Maria I. Gorinova, et al. ∙

∙ 11/23/2021

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

While Graph Neural Networks (GNNs) have recently become the de facto sta...

17 Emanuele Rossi, et al. ∙

∙ 10/22/2020

Conditional independence by typing

A central goal of probabilistic programming languages (PPLs) is to separ...

5 Maria I. Gorinova, et al. ∙

∙ 06/07/2019

Automatic Reparameterisation of Probabilistic Programs

Probabilistic programming has emerged as a powerful paradigm in statisti...

1 Maria I. Gorinova, et al. ∙

∙ 11/15/2018

Effect Handling for Composable Program Transformations in Edward2

Algebraic effects and handlers have emerged in the programming languages...

0 Dave Moore, et al. ∙

∙ 11/02/2018

Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic

Stan is a probabilistic programming language that has been increasingly ...

12 Maria I. Gorinova, et al. ∙

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