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ORCIDMikhail Bilenko
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- affiliation: Microsoft Research
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Journal Articles
- 2009
[j3]Mikhail Bilenko, Evgeniy Gabrilovich, Matthew Richardson, Yi Zhang
:
Information retrieval and advertising. SIGIR Forum 43(2): 29-33 (2009)- 2008
- [j2]Ryen W. White, Mikhail Bilenko, Silviu Cucerzan:
Leveraging popular destinations to enhance Web search interaction. ACM Trans. Web 2(3): 16:1-16:30 (2008) - 2003
- [j1]Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg:
Adaptive Name Matching in Information Integration. IEEE Intell. Syst. 18(5): 16-23 (2003)
Conference and Workshop Papers
- 2019
- [c20]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, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu:
Machine Learning at Microsoft with ML.NET. KDD 2019: 2448-2458 - 2017
- [c19]Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin:
Selection of Negative Samples for One-class Matrix Factorization. SDM 2017: 363-371 - 2016
- [c18]Anshumali Shrivastava, Arnd Christian König, Mikhail Bilenko:
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams. SIGMOD Conference 2016: 1417-1432 - 2015
- [c17]Kenneth Tran, Saghar Hosseini, Lin Xiao, Thomas Finley, Mikhail Bilenko:
Scaling Up Stochastic Dual Coordinate Ascent. KDD 2015: 1185-1194 - 2013
- [c16]Alice X. Zheng, Mikhail Bilenko:
Lazy Paired Hyper-Parameter Tuning. IJCAI 2013: 1924-1931 - 2012
- [c15]Hoyt A. Koepke, Mikhail Bilenko:
Fast Prediction of New Feature Utility. ICML 2012 - 2011
- [c14]Mikhail Bilenko, Matthew Richardson:
Predictive client-side profiles for personalized advertising. KDD 2011: 413-421 - 2009
- [c13]Paul N. Bennett, Misha Bilenko, Kevyn Collins-Thompson:
Tutorial summary: Machine learning in IR: recent successes and new opportunities. ICML 2009: 17 - [c12]Sonal Gupta, Mikhail Bilenko, Matthew Richardson:
Catching the drift: learning broad matches from clickthrough data. KDD 2009: 1165-1174 - 2008
- [c11]Ryen W. White, Matthew Richardson, Mikhail Bilenko, Allison P. Heath:
Enhancing web search by promoting multiple search engine use. SIGIR 2008: 43-50 - [c10]Mikhail Bilenko, Ryen W. White, Matthew Richardson, G. Craig Murray:
Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing. SIGIR 2008: 705-706 - [c9]Mikhail Bilenko, Ryen W. White:
Mining the search trails of surfing crowds: identifying relevant websites from user activity. WWW 2008: 51-60 - 2007
- [c8]Ryen W. White, Mikhail Bilenko, Silviu Cucerzan:
Studying the use of popular destinations to enhance web search interaction. SIGIR 2007: 159-166 - 2006
- [c7]Mikhail Bilenko, Beena Kamath, Raymond J. Mooney:
Adaptive Blocking: Learning to Scale Up Record Linkage. ICDM 2006: 87-96 - 2005
- [c6]Mikhail Bilenko, Sugato Basu, Mehran Sahami:
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. ICDM 2005: 58-65 - 2004
- [c5]Mikhail Bilenko:
Learnable Similarity Functions and their Applications to Clustering and Record Linkage. AAAI 2004: 981-982 - [c4]Mikhail Bilenko, Sugato Basu, Raymond J. Mooney:
Integrating constraints and metric learning in semi-supervised clustering. ICML 2004 - [c3]Sugato Basu, Mikhail Bilenko, Raymond J. Mooney:
A probabilistic framework for semi-supervised clustering. KDD 2004: 59-68 - 2003
- [c2]Mikhail Bilenko, Raymond J. Mooney:
Employing Trainable String Similarity Metrics for Information Integration. IIWeb 2003: 67-72 - [c1]Mikhail Bilenko, Raymond J. Mooney:
Adaptive duplicate detection using learnable string similarity measures. KDD 2003: 39-48
Parts in Books or Collections
- 2006
- [p1]Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney:
Probabilistic Semi-Supervised Clustering with Constraints. Semi-Supervised Learning 2006: 73-102
Informal and Other Publications
- 2024
- [i4]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - 2019
- [i3]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, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu:
Machine Learning at Microsoft with ML .NET. CoRR abs/1905.05715 (2019) - 2014
- [i2]Pengtao Xie, Misha Bilenko, Tom Finley, Ran Gilad-Bachrach, Kristin E. Lauter, Michael Naehrig:
Crypto-Nets: Neural Networks over Encrypted Data. CoRR abs/1412.6181 (2014) - 2012
- [i1]Hoyt A. Koepke, Mikhail Bilenko:
Fast Prediction of New Feature Utility. CoRR abs/1206.4680 (2012)
Coauthor Index
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