Mikhail Bilenko

Affiliations:
  • Microsoft Research


According to our database1, Mikhail Bilenko authored at least 26 papers between 2003 and 2019.

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Bibliography

2019
Machine Learning at Microsoft with ML .NET.
CoRR, 2019


2017
Selection of Negative Samples for One-class Matrix Factorization.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Scaling Up Stochastic Dual Coordinate Ascent.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Crypto-Nets: Neural Networks over Encrypted Data.
CoRR, 2014

2013
Lazy Paired Hyper-Parameter Tuning.
Proceedings of the IJCAI 2013, 2013

2012
Fast Prediction of New Feature Utility.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Predictive client-side profiles for personalized advertising.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009
Information retrieval and advertising.
SIGIR Forum, 2009

Catching the drift: learning broad matches from clickthrough data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Tutorial summary: Machine learning in IR: recent successes and new opportunities.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Leveraging popular destinations to enhance Web search interaction.
ACM Trans. Web, 2008

Mining the search trails of surfing crowds: identifying relevant websites from user activity.
Proceedings of the 17th International Conference on World Wide Web, 2008

Enhancing web search by promoting multiple search engine use.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007
Studying the use of popular destinations to enhance web search interaction.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

2006
Adaptive Blocking: Learning to Scale Up Record Linkage.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Probabilistic Semi-Supervised Clustering with Constraints.
Proceedings of the Semi-Supervised Learning, 2006

2005
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
A probabilistic framework for semi-supervised clustering.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Integrating constraints and metric learning in semi-supervised clustering.
Proceedings of the Machine Learning, 2004

Learnable Similarity Functions and their Applications to Clustering and Record Linkage.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Adaptive Name Matching in Information Integration.
IEEE Intell. Syst., 2003

Adaptive duplicate detection using learnable string similarity measures.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Employing Trainable String Similarity Metrics for Information Integration.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003


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