Maksims Volkovs, Ph.D.

2013 Computer Science University of Toronto, Toronto, ON, Canada 
neural coding, visual perception
"Maksims Volkovs"
Mean distance: 14.52 (cluster 17)


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Rich S. Zemel grad student 2013 University of Toronto
 (Machine learning methods and models for ranking.)
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Volkovs M. (2015) Two-stage approach to item recommendation from user sessions Proceedings of the International Acm Recommender Systems Challenge 2015
Volkovs MN, Yu GW. (2015) Effective latent models for binary feedback in recommender systems Sigir 2015 - Proceedings of the 38th International Acm Sigir Conference On Research and Development in Information Retrieval. 313-322
Volkovs M, Chiang F, Szlichta J, et al. (2014) Continuous data cleaning Proceedings - International Conference On Data Engineering. 244-255
Volkovs MN, Zemel RS. (2014) New learning methods for supervised and unsupervised preference aggregation Journal of Machine Learning Research. 15: 1135-1176
Volkovs MN, Zemel RS. (2013) CRF framework for supervised preference aggregation International Conference On Information and Knowledge Management, Proceedings. 89-98
Volkovs MN, Larochelle H, Zemel RS. (2012) Learning to rank by aggregating expert preferences Acm International Conference Proceeding Series. 843-851
Volkovs MN, Zemel RS. (2012) A flexible generative model for preference aggregation Www'12 - Proceedings of the 21st Annual Conference On World Wide Web. 479-488
Volkovs MN, Zemel RS. (2012) Efficient sampling for bipartite matching problems Advances in Neural Information Processing Systems. 2: 1313-1321
Volkovs MN, Zemel RS. (2012) Collaborative ranking with 17 parameters Advances in Neural Information Processing Systems. 3: 2294-2302
Svore KM, Volkovs MN, Burges CJC. (2011) Learning to rank with multiple objective functions Proceedings of the 20th International Conference On World Wide Web, Www 2011. 367-376
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