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ORCIDKonstantin Salomatin
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2020 – today
- 2022
[c7]Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. AAAI 2022: 3821-3829- 2021
- [c6]Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar:
Lambda Learner: Fast Incremental Learning on Data Streams. KDD 2021: 3492-3502 - [i2]Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Algorithms for Global Inference in Internet Marketplaces. CoRR abs/2103.05277 (2021) - 2020
- [i1]Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar:
Lambda Learner: Fast Incremental Learning on Data Streams. CoRR abs/2010.05154 (2020)
2010 – 2019
- 2019
- [c5]Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar:
Learning to be Relevant: Evolution of a Course Recommendation System. CIKM 2019: 2625-2633 - 2013
- [b1]Konstantin Salomatin:
Large-scale hierarchical optimization for online advertising and wind farm planning. Carnegie Mellon University, USA, 2013 - 2012
- [c4]Konstantin Salomatin, Tie-Yan Liu, Yiming Yang:
A unified optimization framework for auction and guaranteed delivery in online advertising. CIKM 2012: 2005-2009 - 2011
- [c3]Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell:
Statistical Learning for File-Type Identification. ICMLA (1) 2011: 68-73
2000 – 2009
- 2009
- [c2]Konstantin Salomatin, Yiming Yang, Abhimanyu Lad:
Multi-field Correlated Topic Modeling. SDM 2009: 628-637 - [c1]Eugene Fink, Matt Jennings, Konstantin Salomatin, Jaime G. Carbonell:
Scheduling with uncertain resources: Representation of common knowledge. SMC 2009: 2642-2646
Coauthor Index
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