Gautam Kunapuli

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Sriraam NatarajanUniversity of Texas at DallasDirección de correo verificada de utdallas.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinDirección de correo verificada de cs.wisc.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteDirección de correo verificada de rpi.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringDirección de correo verificada de usc.edu
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CAIRNE & ELLISDirección de correo verificada de cs.tu-darmstadt.de
Devendra Singh DhamiAssistant Professor at TU EindhovenDirección de correo verificada de tue.nl
David PageDirector, Whitehead InstituteDirección de correo verificada de wi.mit.edu
Priya GanapathyUtopiaCompression CorporationDirección de correo verificada de utopiacompression.com
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthDirección de correo verificada de d.umn.edu
Mayukh DasSenior Research Scientist at M365 Research, MicrosoftDirección de correo verificada de microsoft.com
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityDirección de correo verificada de eecs.oregonstate.edu
Siwen YanUniversity of Texas at DallasDirección de correo verificada de utdallas.edu
John MitchellProf of Mathematical Sciences, RPIDirección de correo verificada de rpi.edu
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonDirección de correo verificada de allenai.org
Trevor WalkerGoogleDirección de correo verificada de usa.net
Nandini RamananPalo Alto NetworksDirección de correo verificada de paloaltonetworks.com
Steven CenUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Vinay DuddalwarProfessor, Radiology, Urology and Biomedical Engineering University of Southern CaliforniaDirección de correo verificada de med.usc.edu
Bino VargheseKeck School of MedicineDirección de correo verificada de med.usc.edu
Bhushan DesaiUniversity of Southern CaliforniaDirección de correo verificada de usc.edu

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Gautam Kunapuli

Motive

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AI/ML Non-Convex Optimization Human-Allied ML


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	139	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	128	2010
Classification model selection via bilevel programming G Kunapuli, KP Bennett, J Hu, JS Pang Optimization Methods & Software 23 (4), 475-489, 2008	105	2008
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	97	2006
Bilevel optimization and machine learning KP Bennett, G Kunapuli, J Hu, JS Pang IEEE world congress on computational intelligence, 25-47, 2008	92	2008
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, 929-939, 2018	61	2018
Bilevel model selection for support vector machines G Kunapuli, K Bennett, J Hu, JS Pang CRM proceedings and lecture notes 45, 129-158, 2008	60	2008
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	54	2019
Mirror descent for metric learning: A unified approach G Kunapuli, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	51	2012
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	49	2013
Online knowledge-based support vector machines G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	40	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	36	2014
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	29	2018
Structure learning for relational logistic regression: an ensemble approach N Ramanan, G Kunapuli, T Khot, B Fatemi, SM Kazemi, D Poole, ... Data Mining and Knowledge Discovery 35, 2089-2111, 2021	20	2021
Relational restricted boltzmann machines: A probabilistic logic learning approach N Kaur, G Kunapuli, T Khot, K Kersting, W Cohen, S Natarajan Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018	20	2018
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 (01), 7816-7824, 2019	19	2019
A bilevel optimization approach to machine learning G Kunapuli Rensselaer Polytechnic Institute, 2008	19	2008
Neural networks for relational data N Kaur, G Kunapuli, S Joshi, K Kersting, S Natarajan Inductive Logic Programming: 29th International Conference, ILP 2019 …, 2020	18	2020
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. S Natarajan, S Das, N Ramanan, G Kunapuli, P Radivojac IJCAI, 3498-3505, 2018	14	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, ... Inductive Logic Programming: 20th International Conference, ILP 2010 …, 2011	11	2011

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