Mark Schmidt

A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets

Nicolas Le Roux, Mark Schmidt, Francis Bach · arXiv (Cornell University) · 2012 · 537 citations · Full text

Mathematical Programming, Engineering, Machine Learning +16

Accelerated training of conditional random fields with stochastic gradient methods

S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark Schmidt et al. · 2006 · 284 citations

Artificial Intelligence, Structured Prediction, Engineering +19

Fast Patch-based Style Transfer of Arbitrary Style

Tian Qi Chen, Mark Schmidt · arXiv (Cornell University) · 2016 · 222 citations · Full text

Image Analysis, Machine Vision, Style Image +12

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm

Mark Schmidt, E. van den Berg, Michael P. Friedlander et al. · 2009 · 221 citations

Modeling annotator expertise: Learning when everybody knows a bit of something

Yan Yan, Rómer Rosales, Glenn Fung et al. · International Conference on Artificial Intelligence and Statistics · 2010 · 185 citations

Data Annotation, Engineering, Machine Learning +17