Chris Mingard

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis
Exploiting the equivalence between quantum neural networks and perceptrons. CoRR (2024)
Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue
Automatic Gradient Descent: Deep Learning without Hyperparameters. CoRR (2023)
Chris Mingard, Henry Rees, Guillermo Valle Pérez, Ard A. Louis
Do deep neural networks have an inbuilt Occam's razor? CoRR (2023)
Chris Mingard, Guillermo Valle Pérez, Joar Skalse, Ard A. Louis
Is SGD a Bayesian sampler? Well, almost. J. Mach. Learn. Res. 22 (2021)
Yizhang Lou, Chris Mingard, Soufiane Hayou
The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks. CoRR (2021)
Chris Mingard, Guillermo Valle Pérez, Joar Skalse, Ard A. Louis
Is SGD a Bayesian sampler? Well, almost. CoRR (2020)
Chris Mingard, Joar Skalse, Guillermo Valle Pérez, David Martínez-Rubio, Vladimir Mikulik, Ard A. Louis
Neural networks are a priori biased towards Boolean functions with low entropy. CoRR (2019)