Multi-field Correlated Topic Modeling. - Konstantin Salomatin; Yiming Yang; Abhimanyu Lad (SDM, 2009)

Scheduling with uncertain resources: Representation of common knowledge. - Eugene Fink; Matt Jennings; Konstantin Salomatin; Jaime G. Carbonell (SMC, 2009)

Statistical Learning for File-Type Identification. - Siddharth Gopal; Yiming Yang; Konstantin Salomatin; Jaime G. Carbonell (ICMLA (1), 2011)

A unified optimization framework for auction and guaranteed delivery in online advertising. - Konstantin Salomatin; Tie-Yan Liu; Yiming Yang (CIKM, 2012)

Large-scale hierarchical optimization for online advertising and wind farm planning. - Konstantin Salomatin (2013)

Learning to be Relevant: Evolution of a Course Recommendation System. - Shivani Rao; Konstantin Salomatin; Gungor Polatkan; Mahesh Joshi; Sneha Chaudhari; Vladislav Tcheprasov; Jeffrey D. Gee; Deepak Kumar (CIKM, 2019)

Lambda Learner: Fast Incremental Learning on Data Streams. - Rohan Ramanath; Konstantin Salomatin; Jeffrey D. Gee; Kirill Talanine; Onkar Dalal; Gungor Polatkan; Sara Smoot; Deepak Kumar (KDD, 2021)

Efficient Algorithms for Global Inference in Internet Marketplaces. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (CoRR, 2021)

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (AAAI, 2022)