Thorsten Joachims

Thorsten Joachims is a person.

• See: SVMlight, Structured SVM, Counterfactual Evaluation.

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References

• Personal Homepage: http://www.cs.cornell.edu/People/tj/
• DBLP Author Report http://dblp.uni-trier.de/db/indices/a-tree/j/Joachims:Thorsten.html
• Google Scholar Search: http://scholar.google.com/scholar?q=Thorsten+Joachims

2017

• (Joachims, Swaminathan et al., 2017) ⇒ Thorsten Joachims, Adith Swaminathan, and Tobias Schnabel. (2017). “Unbiased Learning-to-Rank with Biased Feedback.” In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. ISBN:978-1-4503-4675-7 doi:10.1145/3018661.3018699
• (Joachims, Granka et al., 2017) ⇒ Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, and Geri Gay. (2017). “Accurately Interpreting Clickthrough Data As Implicit Feedback.” In: ACM SIGIR Forum, 51(1).

2015

• (Swaminathan & Joachims, 2015a) ⇒ Adith Swaminathan, and Thorsten Joachims. (2015). “Counterfactual Risk Minimization: Learning from Logged Bandit Feedback.” In: Proceedings of the 32nd International Conference on International Conference on Machine Learning (ICML-2015).
• (Swaminathan & Joachims, 2015b) ⇒ Adith Swaminathan, and Thorsten Joachims. (2015). “The Self-normalized Estimator for Counterfactual Learning.” In: Proceedings of the 28th International Conference on Neural Information Processing Systems.

2009

• (Joachims et al., 2009) ⇒ Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-Nam Yu. (2009). “Predicting Structured Objects with Support Vector Machines.” In: Communications of the ACM, 52(11). doi:10.1145/1592761.1592783.

2007

• (Shaparenko & Joachims, 2007) ⇒ Benyah Shaparenko, and Thorsten Joachims. (2007). “Information Geneology: Uncovering the flow of ideas in non-hyperlinked document databases.” In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2007). doi:10.1145/1281192.1281259

2006

• (Joachims, 2006) ⇒ Thorsten Joachims. (2006). “Training Linear SVMs in Linear Time.| In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006). doi:10.1145/1150402.1150429

2005

• (Joachims et al., 2005) ⇒ Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, and Geri Gay. (2005). “Accurately Interpreting Clickthrough Data As Implicit Feedback.” In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2005). doi:10.1145/1076034.1076063

2004

• (Tsochantaridis et al., 2004) ⇒ Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, and Yasemin Altun. (2004). “Support Vector Machine Learning for Interdependent and Structured Output Spaces.” In: Proceedings of the twenty-first International Conference on Machine learning. ISBN:1-58113-838-5 doi:10.1145/1015330.1015341

2002

• (Joachims, 2002a) ⇒ Thorsten Joachims. (2002). “Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms." Dissertation, Kluwer. ISBN:0-7923-7679-X
• (Joachims, 2002b) ⇒ Thorsten Joachims. (2002). “Evaluating Retrieval Performance using Clickthrough Data.” In: Proceedings of the SIGIR Workshop on Mathematical Formal Methods in Information Retrieval.
• (Joachims, 2002c) ⇒ Thorsten Joachims. (2002). “Optimizing Search Engines Using Clickthrough Data.” In: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002) doi:10.1145/775047.775067

1999

• (Joachims, 1999a) ⇒ Thorsten Joachims. (1999). “Making large-Scale SVM Learning Practical.” In: Advances in Kernel Methods - Support Vector Learning, Bernhard Schölkopf and C. Burges and Alexander J. Smola (ed.), MIT-Press.
• (Joachims, 1999b) ⇒ Thorsten Joachims. (1999). “Transductive Inference for Text Classification using Support Vector Machines.” In: Proceedings of the International Conference on Machine Learning (ICML 1999).
• (Morik et al., 1999) ⇒ Katharina Morik, Peter Brockhausen, and Thorsten Joachims. (1999). “Combining Statistical Learning with a Knowledge-based Approach - A Case Study in Intensive Care Monitoring.” In: Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999).

1998

• (Joachims, 1998) ⇒ Thorsten Joachims. (1998). “Text Categorization with Support Vector Machines: Learning with Many Relevant Features.” In: Proceedings of the European Conference on Machine Learning (ECML 1998). doi:10.1007/BFb0026683

1997

• (Joachims, 1997a) ⇒ Thorsten Joachims. (1997). “A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.” In: Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997). ISBN:1-55860-486-3
• (Joachims, 1997b) ⇒ Thorsten Joachims. (1997). “Text Categorization with Support Vector Machines: Learning with many relevant features." Technical Report, LS8-Report 23, Universität Dortmund, LS VIII-Report.
• (Joachims et al., 1997) ⇒ Thorsten Joachims, Dayne Freitag, and Tom M. Mitchell. (1997). “Webwatcher: A tour guide for the world wide Web.” In: International Joint Conference on Artificial Intelligence},

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