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.

Gradient Descent: The Ultimate Optimizer

1 code implementation29 Sep 2019 Kartik Chandra, Erik Meijer, Samantha Andow, Emilio Arroyo-Fang, Irene Dea, Johann George, Melissa Grueter, Basil Hosmer, Steffi Stumpos, Alanna Tempest, Shannon Yang

Working with any gradient-based machine learning algorithm involves the tedious task of tuning the optimizer's hyperparameters, such as the learning rate.

Hyperparameter Optimization

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