Search Machine Learning Repository:
All publications by Thomas Hofmann
authors venues years



Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-julien and Brian Mcwilliams
Advances in Neural Information Processing Systems 28, 2015


Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin Takac, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


A brain computer interface with online feedback based on magnetoencephalography
Thomas N. Lal, Michael Schröder, N. J. Hill, Hubert Preissl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Large Margin Methods for Structured and Interdependent Output Variables
Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann and Yasemin Altun
Journal of Machine Learning Research, 2005


Support vector machine learning for interdependent and structured output spaces
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims and Yasemin Altun
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Unifying collaborative and content-based filtering
Justin Basilico and Thomas Hofmann
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Gaussian process classification for segmenting and annotating sequences
Yasemin Altun, Thomas Hofmann and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Semi-supervised Learning on Directed Graphs
Dengyong Zhou, Thomas Hofmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Hidden Markov Support Vector Machines
Yasemin Altun, Ioannis Tsochantaridis and Thomas Hofmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Multiple-Instance Learning via Disjunctive Programming Boosting
Stuart Andrews and Thomas Hofmann
Advances in Neural Information Processing Systems 16, 2003


Discriminative Learning for Label Sequences via Boosting
Yasemin Altun, Thomas Hofmann and Mark Johnson
Advances in Neural Information Processing Systems 15, 2002


Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis and Thomas Hofmann
Advances in Neural Information Processing Systems 15, 2002