A conditional random field for automatic photo editing. - Matthew Brand; Patrick Pletscher (CVPR, 2008)

Spanning Tree Approximations for Conditional Random Fields. - Patrick Pletscher; Cheng Soon Ong; Joachim M. Buhmann (AISTATS, 2009)

Entropy and Margin Maximization for Structured Output Learning. - Patrick Pletscher; Cheng Soon Ong; Joachim M. Buhmann (ECML/PKDD (3), 2010)

Putting MAP Back on the Map. - Patrick Pletscher; Sebastian Nowozin; Pushmeet Kohli; Carsten Rother (DAGM-Symposium, 2011)

LPQP for MAP: Putting LP Solvers to Better Use. - Patrick Pletscher; Sharon Wulff (ICML, 2012)

Stochastic Block-Coordinate Frank-Wolfe Optimization for Structural SVMs - Simon Lacoste-Julien; Martin Jaggi; Mark Schmidt 001; Patrick Pletscher (CoRR, 2012)

Learning Low-order Models for Enforcing High-order Statistics. - Patrick Pletscher; Pushmeet Kohli (AISTATS, 2012)

Part & Clamp: Efficient Structured Output Learning. - Patrick Pletscher; Cheng Soon Ong (AISTATS, 2012)

Towards accurate structured output learning and prediction. - Patrick Pletscher (2012)

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs. - Simon Lacoste-Julien; Martin Jaggi; Mark Schmidt 001; Patrick Pletscher (ICML (1), 2013)