Employing Trainable String Similarity Metrics for Information Integration. - Mikhail Bilenko; Raymond J. Mooney (IIWeb, 2003)

Adaptive duplicate detection using learnable string similarity measures. - Mikhail Bilenko; Raymond J. Mooney (KDD, 2003)

Adaptive Name Matching in Information Integration. - Mikhail Bilenko; Raymond J. Mooney; William W. Cohen; Pradeep Ravikumar; Stephen E. Fienberg (IEEE Intell. Syst., 2003)

Learnable Similarity Functions and their Applications to Clustering and Record Linkage. - Mikhail Bilenko (AAAI, 2004)

Integrating constraints and metric learning in semi-supervised clustering. - Mikhail Bilenko; Sugato Basu; Raymond J. Mooney (ICML, 2004)

A probabilistic framework for semi-supervised clustering. - Sugato Basu; Mikhail Bilenko; Raymond J. Mooney (KDD, 2004)

Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. - Mikhail Bilenko; Sugato Basu; Mehran Sahami (ICDM, 2005)

Probabilistic Semi-Supervised Clustering with Constraints. - Sugato Basu; Mikhail Bilenko; Arindam Banerjee 001; Raymond J. Mooney (Semi-Supervised Learning, 2006)

Adaptive Blocking: Learning to Scale Up Record Linkage. - Mikhail Bilenko; Beena Kamath; Raymond J. Mooney (ICDM, 2006)

Studying the use of popular destinations to enhance web search interaction. - Ryen W. White; Mikhail Bilenko; Silviu Cucerzan (SIGIR, 2007)

Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing. - Mikhail Bilenko; Ryen W. White; Matthew Richardson; G. Craig Murray (SIGIR, 2008)

Enhancing web search by promoting multiple search engine use. - Ryen W. White; Matthew Richardson; Mikhail Bilenko; Allison P. Heath (SIGIR, 2008)

Mining the search trails of surfing crowds: identifying relevant websites from user activity. - Mikhail Bilenko; Ryen W. White (WWW, 2008)

Leveraging popular destinations to enhance Web search interaction. - Ryen W. White; Mikhail Bilenko; Silviu Cucerzan (ACM Trans. Web, 2008)

Tutorial summary: Machine learning in IR: recent successes and new opportunities. - Paul N. Bennett; Misha Bilenko; Kevyn Collins-Thompson (ICML, 2009)

Catching the drift: learning broad matches from clickthrough data. - Sonal Gupta; Mikhail Bilenko; Matthew Richardson (KDD, 2009)

Information retrieval and advertising. - Mikhail Bilenko; Evgeniy Gabrilovich; Matthew Richardson; Yi Zhang 001 (SIGIR Forum, 2009)

Predictive client-side profiles for personalized advertising. - Mikhail Bilenko; Matthew Richardson (KDD, 2011)

Fast Prediction of New Feature Utility. - Hoyt A. Koepke; Mikhail Bilenko (ICML, 2012)

Lazy Paired Hyper-Parameter Tuning. - Alice X. Zheng; Mikhail Bilenko (IJCAI, 2013)

Crypto-Nets: Neural Networks over Encrypted Data. - Pengtao Xie; Misha Bilenko; Tom Finley; Ran Gilad-Bachrach; Kristin E. Lauter; Michael Naehrig (CoRR, 2014)

Scaling Up Stochastic Dual Coordinate Ascent. - Kenneth Tran; Saghar Hosseini; Lin Xiao; Thomas Finley; Mikhail Bilenko (KDD, 2015)

Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams. - Anshumali Shrivastava; Arnd Christian König; Mikhail Bilenko (SIGMOD Conference, 2016)

Selection of Negative Samples for One-class Matrix Factorization. - Hsiang-Fu Yu; Mikhail Bilenko; Chih-Jen Lin (SDM, 2017)

Machine Learning at Microsoft with ML.NET. - Zeeshan Ahmed; Saeed Amizadeh; Mikhail Bilenko; Rogan Carr; Wei-Sheng Chin; Yael Dekel; Xavier Dupré; Vadim Eksarevskiy; Senja Filipi; Tom Finley; Abhishek Goswami; Monte Hoover; et al. (KDD, 2019)

Machine Learning at Microsoft with ML .NET. - Zeeshan Ahmed; Saeed Amizadeh; Mikhail Bilenko; Rogan Carr; Wei-Sheng Chin; Yael Dekel; Xavier Dupré; Vadim Eksarevskiy; Eric Erhardt; Costin Eseanu; Senja Filipi; Tom Finley; et al. (CoRR, 2019)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)