Thorsten Joachims

Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims, Ashutosh Saxena: Contextually guided semantic labeling and search for three-dimensional point clouds. I. J. Robotic Res. 32(1): 19-34 (2013)

Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims: The K-armed dueling bandits problem. J. Comput. Syst. Sci. 78(5): 1538-1556 (2012)

Pannagadatta K. Shivaswamy, Thorsten Joachims: Multi-armed Bandit Problems with History. Journal of Machine Learning Research - Proceedings Track 22: 1046-1054 (2012)

Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue: Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30(1): 6 (2012)

Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims: Temporal corpus summarization using submodular word coverage. CIKM 2012: 754-763

Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims: Large-Margin Learning of Submodular Summarization Models. EACL 2012: 224-233

Pannaga Shivaswamy, Thorsten Joachims: Online Structured Prediction via Coactive Learning. ICML 2012

Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull: Learning to Embed Songs and Tags for Playlist Prediction. ISMIR 2012: 349-354

Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims: Online learning to diversify from implicit feedback. KDD 2012: 705-713

Shuo Chen, Joshua L. Moore, Douglas Turnbull, Thorsten Joachims: Playlist prediction via metric embedding. KDD 2012: 714-722

Pannaga Shivaswamy, Thorsten Joachims: Online Structured Prediction via Coactive Learning. CoRR abs/1205.4213 (2012)

Carmel Domshlak, Thorsten Joachims: Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. CoRR abs/1207.1390 (2012)

Paul N. Bennett, Khalid El-Arini, Thorsten Joachims, Krysta Marie Svore: Enriching information retrieval. SIGIR Forum 45(2): 60-65 (2011)

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy: Structured learning of two-level dynamic rankings. CIKM 2011: 291-296

Thorsten Joachims: The Value of User Feedback. ECIR 2011: 6

Yisong Yue, Thorsten Joachims: Beat the Mean Bandit. ICML 2011: 241-248

Hema Swetha Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena: Semantic Labeling of 3D Point Clouds for Indoor Scenes. NIPS 2011: 244-252

Christina Brandt, Thorsten Joachims, Yisong Yue, Jacob Bank: Dynamic ranked retrieval. WSDM 2011: 247-256

Hema Swetha Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena: Labeling 3D scenes for Personal Assistant Robots. CoRR abs/1106.5551 (2011)

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy: Structured Learning of Two-Level Dynamic Rankings. CoRR abs/1108.2754 (2011)

Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims: Large-Margin Learning of Submodular Summarization Methods. CoRR abs/1110.2162 (2011)

Pannagadatta K. Shivaswamy, Thorsten Joachims: Online Learning with Preference Feedback. CoRR abs/1111.0712 (2011)

Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims, Ashutosh Saxena: Contextually Guided Semantic Labeling and Search for 3D Point Clouds. CoRR abs/1111.5358 (2011)

Tie-Yan Liu, Thorsten Joachims, Hang Li, Chengxiang Zhai: Introduction to special issue on learning to rank for information retrieval. Inf. Retr. 13(3): 197-200 (2010)

Zhao Xu, Kristian Kersting, Thorsten Joachims: Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. ECML/PKDD (3) 2010: 499-514

Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims: Learning more powerful test statistics for click-based retrieval evaluation. SIGIR 2010: 507-514

Johannes Fürnkranz, Thorsten Joachims (Eds.): Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel. Omnipress 2010, isbn 978-1-60558-907-7

Thorsten Joachims, Thomas Hofmann, Yisong Yue, Chun-Nam John Yu: Predicting structured objects with support vector machines. Commun. ACM 52(11): 97-104 (2009)

Thorsten Joachims, Chun-Nam John Yu: Sparse kernel SVMs via cutting-plane training. Machine Learning 76(2-3): 179-193 (2009)

Thorsten Joachims, Thomas Finley, Chun-Nam John Yu: Cutting-plane training of structural SVMs. Machine Learning 77(1): 27-59 (2009)

Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims: Redundancy, diversity and interdependent document relevance. SIGIR Forum 43(2): 46-52 (2009)

Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims: The K-armed Dueling Bandits Problem. COLT 2009

Chun-Nam John Yu, Thorsten Joachims: Learning structural SVMs with latent variables. ICML 2009: 147

Yisong Yue, Thorsten Joachims: Interactively optimizing information retrieval systems as a dueling bandits problem. ICML 2009: 151

Thorsten Joachims, Chun-Nam John Yu: Sparse Kernel SVMs via Cutting-Plane Training. ECML/PKDD (1) 2009: 8

Benyah Shaparenko, Thorsten Joachims: Identifying the Original Contribution of a Document via Language Modeling. ECML/PKDD (2) 2009: 350-365

Benyah Shaparenko, Thorsten Joachims: Identifying the original contribution of a document via language modeling. SIGIR 2009: 696-697

Lori Lorigo, Maya Haridasan, Hrönn Brynjarsdóttir, Ling Xia, Thorsten Joachims, Geri Gay, Laura A. Granka, Fabio Pellacini, Bing Pan: Eye tracking and online search: Lessons learned and challenges ahead. JASIST 59(7): 1041-1052 (2008)

Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. Journal of Computational Biology 15(7): 867-880 (2008)

Yiming Yang, Thorsten Joachims: Text categorization. Scholarpedia 3(5): 4242 (2008)

Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims: Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42(2): 53-58 (2008)

Filip Radlinski, Madhu Kurup, Thorsten Joachims: How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52

Thomas Finley, Thorsten Joachims: Training structural SVMs when exact inference is intractable. ICML 2008: 304-311

Filip Radlinski, Robert Kleinberg, Thorsten Joachims: Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791

Yisong Yue, Thorsten Joachims: Predicting diverse subsets using structural SVMs. ICML 2008: 1224-1231

Chun-Nam John Yu, Thorsten Joachims: Training structural svms with kernels using sampled cuts. KDD 2008: 794-802

Thorsten Joachims, Filip Radlinski: Search Engines that Learn from Implicit Feedback. IEEE Computer 40(8): 34-40 (2007)

Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, Laura A. Granka: In Google We Trust: Users' Decisions on Rank, Position, and Relevance. J. Computer-Mediated Communication 12(3): 801-823 (2007)

Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai: Learning to rank for information retrieval (LR4IR 2007). SIGIR Forum 41(2): 58-62 (2007)

Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay: Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. ACM Trans. Inf. Syst. 25(2) (2007)

Carmel Domshlak, Thorsten Joachims: Efficient and non-parametric reasoning over user preferences. User Model. User-Adapt. Interact. 17(1-2): 41-69 (2007)

Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending related papers based on digital library access records. JCDL 2007: 417-418

Filip Radlinski, Thorsten Joachims: Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579

Benyah Shaparenko, Thorsten Joachims: Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. KDD 2007: 619-628

Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. RECOMB 2007: 253-267

Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims: A support vector method for optimizing average precision. SIGIR 2007: 271-278

Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending Related Papers Based on Digital Library Access Records. CoRR abs/0704.2902 (2007)

Lori Lorigo, Bing Pan, Helene Hembrooke, Thorsten Joachims, Laura A. Granka, Geri Gay: The influence of task and gender on search and evaluation behavior using Google. Inf. Process. Manage. 42(4): 1123-1131 (2006)

Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. AAAI 2006: 1406-1412

Thorsten Joachims: Training linear SVMs in linear time. KDD 2006: 217-226

Thorsten Joachims: Structured Output Prediction with Support Vector Machines. SSPR/SPR 2006: 1-7

Filip Radlinski, Thorsten Joachims: Query Chains: Learning to Rank from Implicit Feedback. CoRR abs/cs/0605035 (2006)

Filip Radlinski, Thorsten Joachims: Evaluating the Robustness of Learning from Implicit Feedback. CoRR abs/cs/0605036 (2006)

Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs. CoRR abs/cs/0605037 (2006)

Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun: Large Margin Methods for Structured and Interdependent Output Variables. Journal of Machine Learning Research 6: 1453-1484 (2005)

Thomas Finley, Thorsten Joachims: Supervised clustering with support vector machines. ICML 2005: 217-224

Thorsten Joachims: A support vector method for multivariate performance measures. ICML 2005: 377-384

Thorsten Joachims, John E. Hopcroft: Error bounds for correlation clustering. ICML 2005: 385-392

Filip Radlinski, Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005: 239-248

Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay: Accurately interpreting clickthrough data as implicit feedback. SIGIR 2005: 154-161

Carmel Domshlak, Thorsten Joachims: Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. UAI 2005: 169-177

Rich Caruana, Thorsten Joachims, Lars Backstrom: KDD-Cup 2004: results and analysis. SIGKDD Explorations 6(2): 95-108 (2004)

Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004

Laura A. Granka, Thorsten Joachims, Geri Gay: Eye-tracking analysis of user behavior in WWW search. SIGIR 2004: 478-479

Susan T. Dumais, Thorsten Joachims, Krishna Bharat, Andreas S. Weigend: SIGIR 2003 workshop report: implicit measures of user interests and preferences. SIGIR Forum 37(2): 50-54 (2003)

Thorsten Joachims: Evaluating Retrieval Performance Using Clickthrough Data. Text Mining 2003: 79-96

Thorsten Joachims: Transductive Learning via Spectral Graph Partitioning. ICML 2003: 290-297

Matthew Schultz, Thorsten Joachims: Learning a Distance Metric from Relative Comparisons. NIPS 2003

Paul Ginsparg, Paul Houle, Thorsten Joachims, Jae-Hoon Sul: Mapping Subsets of Scholarly Information. CoRR cs.IR/0312018 (2003)

Thorsten Joachims, Fabrizio Sebastiani: Guest Editors' Introduction to the Special Issue on Automated Text Categorization. J. Intell. Inf. Syst. 18(2-3): 103-105 (2002)

Thorsten Joachims, Edda Leopold: Text-Mining - Serviceteil. KI 16(2): 39 (2002)

Phoebe Sengers, Rainer Liesendahi, Werner Magar, Christoph Seibert, Boris Müller, Thorsten Joachims, Weidong Geng, Pia Mårtensson, Kristina Höök: The enigmatics of affect. Symposium on Designing Interactive Systems 2002: 87-98

Thorsten Joachims: Optimizing search engines using clickthrough data. KDD 2002: 133-142

Thorsten Joachims: The Maximum-Margin Approach to Learning Text Classifiers. KI 15(3): 63-65 (2001)

Thorsten Joachims, Nello Cristianini, John Shawe-Taylor: Composite Kernels for Hypertext Categorisation. ICML 2001: 250-257

Thorsten Joachims: A Statistical Learning Model of Text Classification for Support Vector Machines. SIGIR 2001: 128-136

Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather: Knowledge discovery and knowledge validation in intensive care. Artificial Intelligence in Medicine 19(3): 225-249 (2000)

Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather: Erratum to "Knowledge discovery and knowledge validation in intensive care". Artificial Intelligence in Medicine 20(2): 179 (2000)

Thorsten Joachims: Estimating the Generalization Performance of an SVM Efficiently. ICML 2000: 431-438

Ralf Klinkenberg, Thorsten Joachims: Detecting Concept Drift with Support Vector Machines. ICML 2000: 487-494

Thorsten Joachims: Support Vector Machines (Aktuelles Schlagwort). KI 13(4): 54-55 (1999)

Thorsten Joachims: Transductive Inference for Text Classification using Support Vector Machines. ICML 1999: 200-209

Katharina Morik, Peter Brockhausen, Thorsten Joachims: Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring. ICML 1999: 268-277

Tobias Scheffer, Thorsten Joachims: Expected Error Analysis for Model Selection. ICML 1999: 361-370

Thorsten Joachims, Dunja Mladenic: Browsing-Assistenten, Tour Guides und adaptive WWW-Server. KI 12(3): 23-29 (1998)

Tobias Scheffer, Thorsten Joachims: Estimating the Expected Error of Empirical Minimizers for Model Selection. AAAI/IAAI 1998: 1200

Thorsten Joachims: Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. ECML 1998: 137-142

Thorsten Joachims: A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. ICML 1997: 143-151

Thorsten Joachims, Dayne Freitag, Tom M. Mitchell: Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997: 770-777