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Murat Kocaoglu
Murat Kocaoglu
Assistant Professor, School of ECE, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Causalgan: Learning causal implicit generative models with adversarial training
M Kocaoglu, C Snyder, AG Dimakis, S Vishwanath
International Conference on Learning Representations (ICLR), 2018
2502018
Learning causal graphs with small interventions
K Shanmugam, M Kocaoglu, AG Dimakis, S Vishwanath
Advances in Neural Information Processing Systems 28, 2015
982015
Experimental design for learning causal graphs with latent variables
M Kocaoglu, K Shanmugam, E Bareinboim
Advances in Neural Information Processing Systems 30, 2017
782017
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
662020
Entropic causal inference
M Kocaoglu, A Dimakis, S Vishwanath, B Hassibi
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
602017
Cost-optimal learning of causal graphs
M Kocaoglu, A Dimakis, S Vishwanath
International Conference on Machine Learning, 1875-1884, 2017
582017
Minimum energy channel codes for nanoscale wireless communications
M Kocaoglu, OB Akan
IEEE Transactions on Wireless Communications 12 (4), 1492-1500, 2013
572013
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
512019
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
48*2017
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
432018
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
342019
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
302020
Fundamentals of green communications and computing: Modeling and simulation
M Kocaoglu, D Malak, OB Akan
Computer 45 (9), 40-46, 2012
282012
Minimum energy coding for wireless nanosensor networks
M Kocaoglu, OB Akan
2012 Proceedings IEEE INFOCOM, 2826-2830, 2012
262012
Communication theoretic analysis of the synaptic channel for cortical neurons
D Malak, M Kocaoglu, OB Akan
Nano Communication Networks 4 (3), 131-141, 2013
252013
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
182022
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
182020
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
162017
Sparse polynomial learning and graph sketching
M Kocaoglu, K Shanmugam, AG Dimakis, A Klivans
Advances in Neural Information Processing Systems 27, 2014
162014
Entropic causal inference: Graph identifiability
S Compton, K Greenewald, DA Katz, M Kocaoglu
International Conference on Machine Learning, 4311-4343, 2022
92022
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