Machine learning-based predictive control using noisy data: evaluating performance and robustness via a large-scale process simulator

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Andreas Wächter, Lorenz T. Biegler · Mathematical Programming · 2005 · 9.4K citations

Natural Sciences, Computer Science, Algorithms +9

Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning

Yarin Gal, Zoubin Ghahramani · arXiv (Cornell University) · 2015 · 4.2K citations · Full text

Computing, Computer Science, Artificial Intelligence +15

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Bo Han, Quanming Yao, Xingrui Yu et al. · Neural Information Processing Systems · 2018 · 1.2K citations

Computing, Computer Science, Machine Learning +10

A theoretically grounded application of dropout in recurrent neural networks

Yarin Gal, Zoubin Ghahramani · Oxford University Research Archive (ORA) (University of Oxford) · 2016 · 914 citations · Full text

Computing, Computer Science, Computational Linguistics +16

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Yarin Gal, Zoubin Ghahramani · arXiv (Cornell University) · 2015 · 617 citations · Full text

Computing, Computer Science, Computer Vision +16