Gautam Kunapuli

Cited by

	All	Since 2015
Citations	609	401
h-index	13	12
i10-index	15	14

100

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Co-authors

Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, TU DarmstadtVerified email at cs.tu-darmstadt.de
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
David PageDirector, Whitehead InstituteVerified email at wi.mit.edu
Priya GanapathyUtopiaCompression CorporationVerified email at utopiacompression.com
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonVerified email at cs.wisc.edu
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Trevor WalkerGoogleVerified email at usa.net
Steven CenUniversity of Southern CaliforniaVerified email at usc.edu
Vinay DuddalwarProfessor, Radiology, Urology and Biomedical Engineering University of Southern CaliforniaVerified email at med.usc.edu
Bino VargheseAdvanced Imaging SpecialistVerified email at med.usc.edu
Kshitij JudahLookout, Inc.Verified email at lookout.com
Phillip OdomIndiana UniversityVerified email at indiana.edu
Amina ShabbeerRensselaer Polytechinc InstituteVerified email at rpi.edu
Kris HauserAssociate Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Shuo YangIndiana University - School of Informatics and ComputingVerified email at indiana.edu

Gautam Kunapuli

The University of Texas at Dallas

Verified email at utdallas.edu - Homepage

Machine Learning Non-Convex Optimization Biomedical Applications


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On the global solution of linear programs with linear complementarity constraints J Hu, JE Mitchell, JS Pang, KP Bennett, G Kunapuli SIAM Journal on Optimization 19 (1), 445-471, 2008	118	2008
Multi-agent inverse reinforcement learning S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik 2010 Ninth International Conference on Machine Learning and Applications …, 2010	53	2010
Model selection via bilevel optimization KP Bennett, J Hu, X Ji, G Kunapuli, JS Pang The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006	49	2006
Classification model selection via bilevel programming G Kunapuli, KP Bennett, J Hu, JS Pang Optimization Methods & Software 23 (4), 475-489, 2008	41	2008
Mirror descent for metric learning: A unified approach G Kunapuli, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	40	2012
Bilevel optimization and machine learning KP Bennett, G Kunapuli, J Hu, JS Pang IEEE World Congress on Computational Intelligence, 25-47, 2008	34	2008
Bilevel model selection for support vector machines G Kunapuli, K Bennett, J Hu, JS Pang CRM Proceedings and Lecture Notes 45, 129-158, 2008	34	2008
Guiding autonomous agents to better behaviors through human advice G Kunapuli, P Odom, JW Shavlik, S Natarajan 2013 IEEE 13th international conference on data mining, 409-418, 2013	32	2013
Online knowledge-based support vector machines G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	30	2010
Learning from imbalanced data in relational domains: A soft margin approach S Yang, T Khot, K Kersting, G Kunapuli, K Hauser, S Natarajan 2014 IEEE International Conference on Data Mining, 1085-1090, 2014	27	2014
Relational restricted boltzmann machines: A probabilistic logic learning approach N Kaur, G Kunapuli, T Khot, K Kersting, W Cohen, S Natarajan International Conference on Inductive Logic Programming, 94-111, 2017	16	2017
A decision-support tool for renal mass classification G Kunapuli, BA Varghese, P Ganapathy, B Desai, S Cen, M Aron, I Gill, ... Journal of digital imaging 31 (6), 929-939, 2018	15	2018
Classification of burn injury using Raman spectroscopy and optical coherence tomography: An ex-vivo study on porcine skin LP Rangaraju, G Kunapuli, D Every, OD Ayala, P Ganapathy, ... Burns 45 (3), 659-670, 2019	13	2019
Drug‐drug interaction discovery: kernel learning from heterogeneous similarities DS Dhami, G Kunapuli, M Das, D Page, S Natarajan Smart Health 9, 88-100, 2018	12	2018
Automating the ILP setup task: Converting user advice about specific examples into general background knowledge T Walker, C O’Reilly, G Kunapuli, S Natarajan, R Maclin, D Page, ... International Conference on Inductive Logic Programming, 253-268, 2010	10	2010
A bilevel optimization approach to machine learning G Kunapuli Rensselaer Polytechnic Institute, 2008	9	2008
Advice refinement in knowledge-based svms G Kunapuli, R Maclin, J Shavlik Advances in neural information processing systems 24, 1728-1736, 2011	8	2011
Model selection via bilevel programming K Bennett, X Ji, J Hu, G Kunapuli, JS Pang Proceedings of the International Joint Conference on Neural Networks (IJCNN …, 2006	8	2006
Fast relational probabilistic inference and learning: Approximate counting via hypergraphs M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 33, 7816-7824, 2019	7	2019
Structure learning for relational logistic regression: An ensemble approach N Ramanan, G Kunapuli, T Khot, B Fatemi, SM Kazemi, D Poole, ... arXiv preprint arXiv:1808.02123, 2018	7	2018

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