Gintare Karolina Dziugaite

I am a member of King’s College and joined Zoubin Ghahramani’s group in Spring 2014 as a PhD student. Before that, I studied Mathematics at Warwick University and read Part III in Mathematics at Cambridge, receiving a Masters in Advanced Studies in Applied Mathematics. My PhD is funded by the EPSRC. My research interests include deep learning, generative models, and learning theory.

See my curriculum vitae for more details.

During Winter 2017, I was a long-term participant in the Foundations of Machine Learning program at the Simons Institute for the Theory of Computing at the University of Berkeley.

Research Articles

See Google scholar for a complete list.

NEW Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite and Daniel M. Roy
Uncertainty in Artificial Intelligence (UAI) 2017.

A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M. Roy

Neural Network Matrix Factorization
Gintare Karolina Dziugaite, Daniel M. Roy, and Zoubin Ghahramani

Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite, Daniel M. Roy, and Zoubin Ghahramani
Uncertainty in Artificial Intelligence (UAI) 2015.