Publications

Technical & Scientific Publications

False Discovery Rate Smoothing
Wesley Tansey, Oluwasanmi Koyejo, Russell A. Poldrack and James G. Scott
Journal of the American Statistical Association (JASA): Theory and Methods, 2017
[arXiv] [code]

Frequency Domain Predictive Modeling with Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Proceedings of the 20th International conference on Artificial Intelligence and Statistics (AISTATS), 2017

Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack, Oluwasanmi Koyejo
Proceedings of the 20th International conference on Artificial Intelligence and Statistics (AISTATS), 2017
[prelim. arXiv]

A Deflation Method for Structured Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, and Oluwasanmi Koyejo
Proceedings of the SIAM International Conference on Data Mining (SDM), 2017

What's in a pattern? Examining the Type of Signal Multivariate Analysis Uncovers At the Group Level
Roee Gilron, Jonathan Rosenblatt, Oluwasanmi Koyejo, Russell A. Poldrack, and Roy Mukamel
NeuroImage (2017).
[url]

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance
J.M. Shine, P.G. Bissett, P.T. Bell, O. Koyejo, J.H. Balsters, K.J. Gorgolewski, C.A. Moodie and R. A. Poldrack
Neuron (2016)
[url] [arXiv] [code]

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention
James M. Shine, Oluwasanmi Koyejo, and Russell A. Poldrack
Proceedings of the National Academy of Sciences (2016): 201604898.
[url] [arXiv] [code]

Examples are not Enough, Learn to Criticize! Criticism for Interpretable Machine Learning
Been Kim*, Rajiv Khanna* and Oluwasanmi Koyejo*
Advances in Neural Information Processing Systems (NIPS) 29, 2016 (Oral)
[url] [code]

Preference Completion from Partial Rankings
Suriya Gunasekar, Oluwasanmi Koyejo, and Joydeep Ghosh.
Advances in Neural Information Processing Systems (NIPS) 29, 2016
[url] [code]

Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Timothy Rubin, Oluwasanmi Koyejo, Michael Jones, and Tal Yarkoni
Advances in Neural Information Processing Systems (NIPS) 29, 2016
[url] [code]

Sparse parameter recovery from aggregated data
Avradeep Bhowmik, Joydeep Ghosh, and Oluwasanmi Koyejo
International Conference on Machine Learning (ICML), 2016
[url]

Optimal classification with multivariate losses
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep K Ravikumar, and Inderjit S Dhillon.
International Conference on Machine Learning (ICML), 2016
[url] [prelim. arXiv]

A simple and provable algorithm for sparse CCA
Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, and Russell A Poldrack
International Conference on Machine Learning (ICML), 2016
[url] [code]

Renyi divergence minimization based co-regularized multiview clustering
Shalmali Joshi, Joydeep Ghosh, Mark Reid, and Oluwasanmi Koyejo
Machine Learning, 2016
[url]

Long-term neural, behavioral, and physiological phenotyping of a single human: The myconnectome project
R. Poldrack, T. Laumann, O. Koyejo, B. Gregory, A. Hover, M.-Y. Chen, K. Gorgolewski, J. Luci, S.J. Joo, R. Boyd, S. Hunicke-Smith, Z. Simpson, T. Caven, V. Sochat, J. Shine, E. Gordon, A. Snyder, B. Adeyemo, S. Petersen, D. Glahn, D. McKay, J. Curran, H. Göring, M. Carless, J. Blangero, R. Dougherty, A. Leemans, D. Handwerker, L. Frick, E. Marcotte, J. Mumford.
Nature Communications, 2015
[url] [web] [code]

Consistent multilabel classification
Oluwasanmi Koyejo*, Nagarajan Natarajan*, Pradeep Ravikumar, and Inderjit Dhillon
Advances in Neural Information Processing Systems (NIPS) 28, 2015
[url]

Effects of thresholding on correlation-based image similarity metrics
Vanessa V Sochat, Krzysztof J. Gorgolewski, Oluwasanmi Koyejo, Joke Durnez and Russell A Poldrack
Frontiers in Neuroscience, 9:418, 2015
[url] [code]

Simultaneous prognosis and exploratory analysis of multiple chronic conditions using clinical notes
Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, and Joydeep Ghosh
IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015), 2015
[url]

Estimation of dynamic functional connectivity using multiplicative analytical coupling
James M Shine, Oluwasanmi Koyejo, Peter T Bell, Krzysztov J Gorgolewski, Moran Gilat, and Russell A Poldrack
NeuroImage, 122:399-407, 2015
[url] [code]

Generalized linear models for aggregated data
Avradeep Bhowmik, Joydeep Ghosh, and Oluwasanmi Koyejo
Proceedings of the 18th International conference on Artificial Intelligence and Statistics (AISTATS), 2015 (Oral)
[url]

Sparse submodular probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, and Oluwasanmi Koyejo
Proceedings of the 18th International conference on Artificial Intelligence and Statistics (AISTATS), 2015 (Oral)
[url]

Consistent binary classification with generalized performance metrics
Oluwasanmi Koyejo*, Nagarajan Natarajan*, Pradeep Ravikumar, and Inderjit Dhillon
Advances in Neural Information Processing Systems (NIPS) 27, 2014 (Spotlight)
[url]

On prior distributions and approximate inference for structured variables
Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, and Russell A Poldrack
Advances in Neural Information Processing Systems (NIPS) 27, 2014
[url]

Sparse dependent Bayesian structure learning
Anqi Wu, Mijung Park, Oluwasanmi Koyejo, and Jonathan Pillow
Advances in Neural Information Processing Systems (NIPS) 27, 2014
[url]

A constrained matrix-variate Gaussian process for transposable data
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh
Machine Learning, 2014
[url] [arXiv]

Constrained Bayesian inference for low rank multitask learning
Oluwasanmi Koyejo and Joydeep Ghosh
Proceedings of the 29th conference on Uncertainty in artificial intelligence (UAI), 2013
Awarded Amazon best student paper
[pdf] [arXiv]

Towards open sharing of task-based fMRI data: The OpenfMRI project
R. A. Poldrack, D. M. Barch, J. P. Mitchell, T. D. Wager, A. D. Wagner, J. T. Devlin, C. Cumba, O. Koyejo, and M. P. Milham
Frontiers in Neuroinformatics, 2013
[url] [web]

Bayesian structure learning for functional neuroimaging
Mijung Park*, Oluwasanmi Koyejo*, Joydeep Ghosh, Russell A. Poldrack, and Jonathan W. Pillow
International Conference on Artificial Intelligence and Statistics (AISTATS), 2013
[url]

Identifying candidate disease genes using a trace norm constrained bipartite raking model
Cheng Lee, Oluwasanmi Koyejo, and Joydeep Ghosh
Engineering in Medicine and Biology Society (EMBC), 2013
[pdf]

Learning predictive cognitive structure from fMRI using supervised topic models
Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, and Russell A. Poldrack
International Workshop on Pattern Recognition in NeuroImaging (PRNI), 2013
[pdf]

Retargeted matrix factorization for collaborative filtering
Oluwasanmi Koyejo, Sreangsu Acharyya, and Joydeep Ghosh
Proceedings of the 7th ACM conference on Recommender systems (RecSys ’13). ACM, New York, NY, USA, 49-56
[url]

Constrained Gaussian Process Regression for Gene-Disease Association
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh
ICDM Workshop on Biological Data Mining and its Applications in Healthcare, 2013
[url]

Decoding cognitive processes from functional MRI
Oluwasanmi Koyejo and Russell A. Poldrack
NIPS Workshop on Machine Learning and Interpretation in Neuroimaging, 2013
[pdf]

Learning to rank with Bregman divergences and monotone retargeting
Sreangsu Acharyya*, Oluwasanmi Koyejo*, and Joydeep Ghosh
Proceedings of the 28th conference on Uncertainty in artificial intelligence (UAI), 2012
[pdf] [arXiv]

A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems
Sreangsu Acharyya*, Oluwasanmi Koyejo*, and Joydeep Ghosh
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HETREC). ACM, 2011
[pdf]

MiPPS; a generative model for multi-manifold clustering. In AAAI Fall Symposium on Manifold Learning and Its Applications
Oluwasanmi Koyejo and Joydeep Ghosh
AAAI Fall Symposium on Manifold Learning and Its Applications. AAAI Press, 2009
[pdf]

Thesis

Constrained relative entropy minimization with applications to multitask learning
Oluwasanmi Koyejo
University of Texas at Austin, 2013
[url]

Preprints

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Peer-reviewed workshop papers

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Peer-reviewed abstracts

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Academic Magazine Publications

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* Indicates equal contribution.