Search Machine Learning Repository:
All publications by Thorsten Joachims
authors venues years



Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan and Thorsten Joachims
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan and Thorsten Joachims
Advances in Neural Information Processing Systems 28, 2015


Reducing Dueling Bandits to Cardinal Bandits
Nir Ailon, Zohar Karnin and Thorsten Joachims
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy and Tobias Schnabel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims and Ashutosh Saxena
Advances in Neural Information Processing Systems 26, 2013


Online Structured Prediction via Coactive Learning
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multi-armed Bandit Problems with History
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims and Ashutosh Saxena
Advances in Neural Information Processing Systems 24, 2011


Beat the Mean Bandit
Yisong Yue and Thorsten Joachims
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Interactively optimizing information retrieval systems as a dueling bandits problem
Yisong Yue and Thorsten Joachims
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Learning structural SVMs with latent variables
Chun-nam J. Yu and Thorsten Joachims
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Predicting diverse subsets using structural SVMs
Yisong Yue and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning diverse rankings with multi-armed bandits
Filip Radlinski, Thorsten Joachims and Robert D. Kleinberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Training structural SVMs when exact inference is intractable
Thomas Finley and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Error bounds for correlation clustering
Thorsten Joachims and John E. Hopcroft
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A support vector method for multivariate performance measures
Thorsten Joachims
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Supervised clustering with support vector machines
Thomas Finley and Thorsten Joachims
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


Transductive Learning via Spectral Graph Partitioning
Thorsten Joachims
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning a Distance Metric from Relative Comparisons
Matthew Schultz and Thorsten Joachims
Advances in Neural Information Processing Systems 16, 2003