About

I'm a machine learning scientist and held research positions at Yahoo Labs in Haifa and Amazon in Berlin. Before that I was a PhD student at ETH Zurich, Switzerland, where I was affiliated with the machine learning group of Prof. Joachim M. Buhmann.
- Email: pat@pletscher.org
- Twitter: @ppletscher
- Github: ppletscher
- CV (last update 2016/09/05)
Publications
I also try to keep my Google scholar profile up to date.
Peer Reviewed Conferences and Journals
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt & Patrick Pletscher
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
ICML, 2013.
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
ICML, 2013.
@inproceedings{LacosteJulien2013,
author = {Lacoste-Julien, Simon and Jaggi, Martin and Schmidt, Mark and Pletscher, Patrick},
title = {Block-Coordinate Frank-Wolfe Optimization for Structural SVMs},
booktitle = {ICML},
year = {2013},
}
Patrick Pletscher & Sharon Wulff
LPQP for MAP: Putting LP Solvers to Better Use
ICML, 2012.
LPQP for MAP: Putting LP Solvers to Better Use
ICML, 2012.
@inproceedings{Pletscher2012c,
author = {Pletscher, Patrick and Wulff, Sharon},
title = {LPQP for MAP: Putting LP Solvers to Better Use},
booktitle = {ICML},
year = {2012},
}
Patrick Pletscher & Pushmeet Kohli
Learning Low-order Models for Enforcing High-order Statistics
AISTATS, 2012.
Learning Low-order Models for Enforcing High-order Statistics
AISTATS, 2012.
@inproceedings{Pletscher2012b,
author = {Pletscher, Patrick and Kohli, Pushmeet},
title = {Learning Low-order Models for Enforcing High-order Statistics},
booktitle = {Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics ({AISTATS}) 2012},
pages = {886--894},
year = {2012},
publisher = {JMLR: W\&CP 22},
address = {La Palma, Canary Islands},
editor = {Neil Lawrence and Mark Girolami}
}
Patrick Pletscher & Cheng Soon Ong
Part & Clamp: Efficient Structured Output Learning
AISTATS, 2012.
Part & Clamp: Efficient Structured Output Learning
AISTATS, 2012.
@inproceedings{Pletscher2012a,
author = {Pletscher, Patrick and Ong, Cheng Soon},
title = {Part & Clamp: Efficient Structured Output Learning},
booktitle = {Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics ({AISTATS}) 2012},
pages = {877--885},
year = {2012},
publisher = {JMLR: W\&CP 22},
address = {La Palma, Canary Islands},
editor = {Neil Lawrence and Mark Girolami}
}
Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli & Carsten
Rother
Putting MAP back on the Map
DAGM, 2011.
Putting MAP back on the Map
DAGM, 2011.
@inproceedings{Pletscher2011,
author = {Pletscher, Patrick and Nowozin, Sebastian and Kohli, Pushmeet and Rother, Carsten},
title = {Putting {MAP} back on the Map},
booktitle = {33rd Annual Symposium of the German Association for Pattern Recognition ({DAGM})},
year = {2011},
editor = {R. Mester and M. Felsberg},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6835},
pages = {111--121},
}
Patrick Pletscher, Cheng Soon Ong & Joachim M. Buhmann
Entropy and Margin Maximization for Structured Output Learning
ECML PKDD, 2010.
Entropy and Margin Maximization for Structured Output Learning
ECML PKDD, 2010.
@inproceedings{Pletscher2010,
author = {Pletscher, Patrick and Ong, Cheng Soon and Buhmann, Joachim M.},
title = {Entropy and Margin Maximization for Structured Output Learning},
booktitle = {Proceedings of the 20th European Conference on Machine Learning ({ECML})},
year = {2010},
editor = {Jos{\'e} L. Balc{\'a}zar and Francesco Bonchi and Aristides Gionis and Mich{\`e}le Sebag},
series = {Lecture Notes in Computer Science},
volume = {6321},
pages = {83-98},
}
Patrick Pletscher, Cheng Soon Ong & Joachim M. Buhmann
Spanning Tree Approximations for Conditional Random Fields
AISTATS, 2009.
Spanning Tree Approximations for Conditional Random Fields
AISTATS, 2009.
@inproceedings{Pletscher2009,
author = {Pletscher, Patrick and Ong, Cheng Soon and Buhmann, Joachim M.},
title = {Spanning Tree Approximations for Conditional Random Fields},
booktitle = {Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics ({AISTATS}) 2009},
year = {2009},
pages = {408--415},
editor = {D. van Dyk and M. Welling},
publisher = {JMLR: W&CP 5},
address = {Clearwater Beach, Florida}
}
Matthew Brand & Patrick Pletscher
A conditional random field for automatic photo editing
CVPR, 2008.
A conditional random field for automatic photo editing
CVPR, 2008.
@inproceedings{Brand2008,
author = {Matthew Brand and Patrick Pletscher},
title = {A conditional random field for automatic photo editing},
booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
year = {2008},
}
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick Pletscher, Georg Schneider & Markus Uhr
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
Pattern Recognition Letters, 2007.
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
Pattern Recognition Letters, 2007.
@article{Guyon2007,
author = {Isabelle Guyon and Jiwen Li and Theodor Mader and Patrick A. Pletscher and Georg Schneider and Markus Uhr},
title = {Competitive baseline methods set new standards for the {NIPS} 2003 feature selection benchmark},
journal = {Pattern Recognition Letters},
volume = {28},
number = {12},
year = {2007},
issn = {0167-8655},
pages = {1438--1444},
doi = {http://dx.doi.org/10.1016/j.patrec.2007.02.014},
publisher = {Elsevier Science Inc.},
address = {New York, NY, USA},
}
Workshops
Martin Jaggi, Simon Lacoste-Julien, Mark Schmidt & Patrick Pletscher
Block-Coordinate Frank-Wolfe for Structural SVMs
NIPS Workshop on Optimization for Machine Learning, 2012
Block-Coordinate Frank-Wolfe for Structural SVMs
NIPS Workshop on Optimization for Machine Learning, 2012
@inproceedings{Jaggi2012,
author = {Jaggi, Martin and Lacoste-Julien, Simon and Schmidt, Mark and Pletscher, Patrick},
title = {Block-Coordinate Frank-Wolfe for Structural SVMs},
booktitle = {NIPS Workshop on Optimization for Machine Learning},
year = {2012}
}
Patrick Pletscher & Sharon Wulff
A Combined LP and QP Relaxation for MAP
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML), 2011.
A Combined LP and QP Relaxation for MAP
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML), 2011.
@inproceedings{Pletscher2011a,
author = {Pletscher, Patrick and Wulff, Sharon},
title = {A Combined LP and QP Relaxation for MAP},
booktitle = {NIPS Workshop on Discrete Optimization in Machine Learning (DISCML)},
year = {2011}
}
Theses
Patrick Pletscher
Towards Accurate Structured Output Learning and Prediction
PhD thesis, ETH Zurich, October 2012.
Supervised by Prof. Buhmann.
Towards Accurate Structured Output Learning and Prediction
PhD thesis, ETH Zurich, October 2012.
Supervised by Prof. Buhmann.
@phdthesis{Pletscher2012d,
author = {Patrick Pletscher},
title = {Towards Accurate Structured Output Learning and Prediction},
school = {ETH Zurich},
address = {Switzerland},
year = {2012},
month = {October},
}
Patrick Pletscher
Model order selection: Criteria, inference strategies and an application to biclustering
Master's thesis, ETH Zurich, September 2007.
Supervised by Peter Orbanz and Prof. Buhmann.
Model order selection: Criteria, inference strategies and an application to biclustering
Master's thesis, ETH Zurich, September 2007.
Supervised by Peter Orbanz and Prof. Buhmann.
@mastersthesis{Pletscher2007,
author = {Patrick Pletscher},
title = {Model order selection: Criteria, inference strategies and an application to biclustering},
school = {ETH Zurich},
address = {Switzerland},
year = {2007},
month = {September},
}
Undergraduate Research
Peptide Assignment Validation
Semester thesis in machine learning, 2006.
Supervised by Bernd Fischer and Prof. Buhmann.
Semester thesis in machine learning, 2006.
Supervised by Bernd Fischer and Prof. Buhmann.
@misc{Pletscher2006,
author = {Patrick Pletscher},
title = {Peptide Assignment Validation: Telling what's wrong without actually knowing what's right},
school = {ETH Zurich},
address = {Switzerland},
year = {2006},
month = {April},
note = {semester project report},
}
Adaptive Security of Compositions
Semester thesis in cryptography, 2005.
Supervised by Krzysztof Pietrzak and Prof. Maurer.
Semester thesis in cryptography, 2005.
Supervised by Krzysztof Pietrzak and Prof. Maurer.
@misc{Pletscher2005,
author = {Patrick Pletscher},
title = {Adaptive security of compositions},
school = {ETH Zurich},
address = {Switzerland},
year = {2005},
month = {July},
note = {semester project report},
}
Teaching
I have assisted several courses at ETH Zurich as a teaching assistant.
- Computational Intelligence Lab (SS10, SS11, SS12)
- Probabilistic Graphical Models for Image Analysis (WS08, WS09, WS10, WS11)
- Informatik II (D-MAVT) (SS09)
- Visual Computing (SS08)
- Computational Science (SS06, SS07)
- Informatik I (D-BAUG) (WS05)