Patrick

I'm a research scientist at Yahoo Labs Haifa. Previously I worked at Amazon and 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.

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.
@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.
@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.
@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.
@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.
@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.
@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.
@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.
@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.
@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
@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.
@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.
@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.
@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.
@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.
@misc{Pletscher2005,
  author  = {Patrick Pletscher},
  title   = {Adaptive security of compositions},
  school  = {ETH Zurich},
  address = {Switzerland},
  year    = {2005},
  month   = {July},
  note    = {semester project report},
}

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)