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Publications | Technical Reports

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2012

Learning Verb Entailment from Diverse Linguistic Evidence Weisman, H.; Berant, J.; Szpektor, I.; Dagan, I. , EMNLP, (2012)

2011

Behavior and neural basis of near-optimal visual search Ma*, W.J.; Navalpakkam*, V.; Beck*, J.M.; van den Berg, R.; Pouget, A. , Nature Neuroscience, 05/2011, Volume 14, p.783–790, (2011) Abstract

Contextual bandits with linear payoff functions Chu, W.; Li, L.; Reyzin, L.; Schapire, R.E. , AISTATS, (2011) Abstract

Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms Li, L.; Chu, W.; Langford, J.; Wang, X. , WSDM, (2011) Abstract

Unbiased online active learning in data streams Chu, W.; Zinkevich, M.; Li, L.; Thomas, A.; Tseng, B. , KDD, (2011) Abstract

2010

A contextual-bandit approach to personalized news article recommendation Li, L.; Chu, W.; Langford, J.; Schapire, R.E. , WWW 2010: Proceedings of the 19th international conference on World Wide Web, 28/04/2010, Raleigh, NC, USA, (2010) Abstract

Online learning for recency search ranking using real-time user feedback Moon, T.; Li, L.; Chu, W.; Liao, C.; Zheng, Z.; Chang, Y. , CIKM, (2010) Abstract

Parallelized stochastic gradient descent Zinkevich, M.; Smola, A.J.; Weimer, M.; Li, L. , NIPS, (2010) Abstract

2009

Reliable Tags Using Image Similarity: Mining Specificity and Expertise from Large-Scale Multimedia Databases Kennedy, L.; Slaney, M.; Weinberger, K. , 2009 ACM Multimedia: Workshop on Web-Scale Multimedia Corpus, Beijing, 10/2009, Beijing, China, (2009) Abstract

Unsupervised Image Ranking Hörster, E.; Slaney, M.; Ranzato, M.; Weinberger, K. , 2009 ACM Multimedia: Workshop on Large-Scale Multimedia Retrieval and Mining, 10/2009, Beijing, China, (2009) Abstract

Speeding Up HMM Decoding and Training by Exploiting Sequence Repetitions Lifshits, Y.; Mozes, S.; Weimann, O.; Ziv-Ukelson, M. , Algorithmica, (2009) Abstract

2008

Resolving Tag Ambiguity Weinberger, K.; Slaney, M.; Zwol, R. , ACM Multimedia, 09/27/2008, Vancouver, Canada, (2008) Abstract

Geographic Intention and Modification in Web Search Jones, R.; Zhang, W.V.; Rey, B.; Jhala, P.; Stipp, E. , International Journal of Geographical Information Science (IJGIS), 07/2008, Volume 22, Issue 3, p.229-246, (2008) Abstract

Fast Solvers and Efficient Implementations for Distance Metric Learning Weinberger, K.Q.; Saul, L.K. , International Conference on Machine Learning (ICML), 05/05/2008, Helsinki, Finland, (2008) Abstract

Learning a metric for music similiarity Slaney, M.; Weinberger, K.; White, W. , Proceedings of the International Society of Music-Information Retrieval, Philadelphia, PA, p.313-318, (2008) Abstract

Large Margin Taxonomy Embedding with an Application to Document Categorization Weinberger, K.; Chapelle, O. , Neural Information Processing Systems (NIPS), Volume 21, (2008) Abstract

Mapping uncharted waters: exploratory analysis, visualization, and clustering of oceanographic data. J. M. Lewis, P.M.H. , International Conference on Machine Learning Applications, (2008) Abstract

The Juxtaposed approximate PageRank method for robust PageRank approximation in a peer-to-peer web search network Parreira, J.X.; Castillo, C.; Donato, D.; Michel, S.; Weikum, G. , VLDB Journal, Volume 17, Issue 2, Number 7, p.22, (2008) Abstract

2007

Computing Trusted Authority Scores in Peer-to-Peer Networks Parreira, J.; Donato, D.; Castillo, C.; Weikum, G. , Proceedings of AIRWeb, May, Banff, Alberta, Canada, p.73--80, (2007)

Collaborative Filtering and the Missing at Random Assumption Marlin, B.M.; Zemel, R.S.; Roweis, S.; Slaney, M. , 7/2007, (2007) Abstract

Distributed sparse random projections for refinable approximation. Wang, W.; Garofalakis, M.N.; Ramchandran, K. , IPSN, p.331-339, (2007)

Metric Learning with Convex Optimization Weinberger, K.Q. , Computer and Information Science, Philadelphia, p.162, (2007) Abstract

Relational Learning with Gaussian Processes Chu, W.; Sindhwani, V.; Ghahramani, Z.; Keerthi, S.S. , Advances in Neural Information Processing Systems 19, Cambridge, MA, p.289--296, (2007)

Support Vector Ordinal Regression. Chu, W.; Keerthi, S.S. , Neural Computation, Volume 19, Number 3, p.792-815, (2007)

Semi-Supervised Gaussian Process Classifiers. Sindhwani, V.; Chu, W.; Keerthi, S.S. , IJCAI, p.1059-1064, (2007)