Search Results for author: Erik Meijer

Found 10 papers, 4 papers with code

Localized Uncertainty Attacks

no code implementations17 Jun 2021 Ousmane Amadou Dia, Theofanis Karaletsos, Caner Hazirbas, Cristian Canton Ferrer, Ilknur Kaynar Kabul, Erik Meijer

Under this threat model, we create adversarial examples by perturbing only regions in the inputs where a classifier is uncertain.

Accelerating Metropolis-Hastings with Lightweight Inference Compilation

1 code implementation23 Oct 2020 Feynman Liang, Nimar Arora, Nazanin Tehrani, Yucen Li, Michael Tingley, Erik Meijer

In order to construct accurate proposers for Metropolis-Hastings Markov Chain Monte Carlo, we integrate ideas from probabilistic graphical models and neural networks in an open-source framework we call Lightweight Inference Compilation (LIC).

Probabilistic Programming

Ownership at Large -- Open Problems and Challenges in Ownership Management

no code implementations15 Apr 2020 John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers

Software-intensive organizations rely on large numbers of software assets of different types, e. g., source-code files, tables in the data warehouse, and software configurations.

BIG-bench Machine Learning Management

Gradient Descent: The Ultimate Optimizer

2 code implementations29 Sep 2019 Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer

This allows us to easily apply the method to other optimizers and hyperparameters (e. g. momentum coefficients).

BIG-bench Machine Learning Hyperparameter Optimization

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