Murat Kocaoglu

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Alexandros G DimakisProfessor, ECE University of Texas at AustinAdresse e-mail validée de austin.utexas.edu
Karthikeyan ShanmugamResearch Scientist, Google Research IndiaAdresse e-mail validée de google.com
Sriram VishwanathUniversity of TexasAdresse e-mail validée de utexas.edu
Ozgur B. AkanUniversity of Cambridge, UK, and Koç University, TurkeyAdresse e-mail validée de cam.ac.uk
Kristjan GreenewaldResearch Scientist, MIT-IBM Watson AI Lab, IBM ResearchAdresse e-mail validée de ibm.com
Elias BareinboimColumbia UniversityAdresse e-mail validée de columbia.edu
Derya MalakEURECOM, Rensselaer Polytechnic InstituteAdresse e-mail validée de eurecom.fr
Spencer ComptonStanford UniversityAdresse e-mail validée de stanford.edu
Amin JaberPhD Student, Purdue UniversityAdresse e-mail validée de purdue.edu
Christopher SnyderPathology resident at Washington University in St. LouisAdresse e-mail validée de wustl.edu
Rajat SenGoogleAdresse e-mail validée de utexas.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringAdresse e-mail validée de caltech.edu
Sara MagliacaneUniversity of AmsterdamAdresse e-mail validée de uva.nl
Mahsa GhasemiAssistant Professor of Electrical and Computer Engineering, Purdue UniversityAdresse e-mail validée de purdue.edu
Qasim ElahiPhD. StudentAdresse e-mail validée de purdue.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinAdresse e-mail validée de utexas.edu
Lai WeiUnviversity of MichiganAdresse e-mail validée de umich.edu
Shiv SainiAdobe ResearchAdresse e-mail validée de adobe.com
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & NSF CHORUS; PurdueAdresse e-mail validée de purdue.edu
Subrata MitraAdobe ResearchAdresse e-mail validée de adobe.com

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Murat Kocaoglu

Assistant Professor, School of ECE, Purdue University

Adresse e-mail validée de purdue.edu - Page d'accueil

Causal Inference Machine Learning Information Theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Causalgan: Learning causal implicit generative models with adversarial training M Kocaoglu, C Snyder, AG Dimakis, S Vishwanath International Conference on Learning Representations (ICLR), 2018	305	2018
Learning causal graphs with small interventions K Shanmugam, M Kocaoglu, AG Dimakis, S Vishwanath Advances in Neural Information Processing Systems 28, 2015	114	2015
Causal discovery from soft interventions with unknown targets: Characterization and learning A Jaber, M Kocaoglu, K Shanmugam, E Bareinboim Advances in neural information processing systems 33, 9551-9561, 2020	104	2020
Experimental design for learning causal graphs with latent variables M Kocaoglu, K Shanmugam, E Bareinboim Advances in Neural Information Processing Systems 30, 2017	93	2017
Cost-optimal learning of causal graphs M Kocaoglu, A Dimakis, S Vishwanath International Conference on Machine Learning, 1875-1884, 2017	75	2017
Entropic causal inference M Kocaoglu, A Dimakis, S Vishwanath, B Hassibi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	72	2017
Characterization and learning of causal graphs with latent variables from soft interventions M Kocaoglu, A Jaber, K Shanmugam, E Bareinboim Advances in Neural Information Processing Systems 32, 2019	62	2019
Root cause analysis of failures in microservices through causal discovery A Ikram, S Chakraborty, S Mitra, S Saini, S Bagchi, M Kocaoglu Advances in Neural Information Processing Systems 35, 31158-31170, 2022	57	2022
Contextual bandits with latent confounders: An nmf approach R Sen, K Shanmugam, M Kocaoglu, A Dimakis, S Shakkottai Artificial Intelligence and Statistics, 518-527, 2017	56	2017
Minimum energy channel codes for nanoscale wireless communications M Kocaoglu, OB Akan IEEE Transactions on Wireless Communications 12 (4), 1492-1500, 2013	56	2013
Experimental design for cost-aware learning of causal graphs E Lindgren, M Kocaoglu, AG Dimakis, S Vishwanath Advances in Neural Information Processing Systems 31, 2018	51	2018
Sample efficient active learning of causal trees K Greenewald, D Katz, K Shanmugam, S Magliacane, M Kocaoglu, ... Advances in Neural Information Processing Systems 32, 2019	48	2019
Active structure learning of causal DAGs via directed clique trees C Squires, S Magliacane, K Greenewald, D Katz, M Kocaoglu, ... Advances in Neural Information Processing Systems 33, 21500-21511, 2020	39	2020
Communication theoretic analysis of the synaptic channel for cortical neurons D Malak, M Kocaoglu, OB Akan Nano Communication Networks 4 (3), 131-141, 2013	27	2013
Fundamentals of green communications and computing: Modeling and simulation M Kocaoglu, D Malak, OB Akan Computer 45 (9), 40-46, 2012	27	2012
Minimum energy coding for wireless nanosensor networks M Kocaoglu, OB Akan 2012 Proceedings IEEE INFOCOM, 2826-2830, 2012	26	2012
Applications of common entropy for causal inference M Kocaoglu, S Shakkottai, AG Dimakis, C Caramanis, S Vishwanath Advances in neural information processing systems 33, 17514-17525, 2020	23	2020
Entropic causal inference: Identifiability and finite sample results S Compton, M Kocaoglu, K Greenewald, D Katz Advances in Neural Information Processing Systems 33, 14772-14782, 2020	16	2020
Entropic causality and greedy minimum entropy coupling M Kocaoglu, AG Dimakis, S Vishwanath, B Hassibi 2017 IEEE International Symposium on Information Theory (ISIT), 1465-1469, 2017	16	2017
Sparse polynomial learning and graph sketching M Kocaoglu, K Shanmugam, AG Dimakis, A Klivans Advances in Neural Information Processing Systems 27, 2014	16	2014

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