Avradeep Bhowmik, Joydeep Ghosh, and Oluwasanmi Koyejo. Sparse parameter recovery from aggregated data.
International Conference on Machine Learning (ICML), 2016
(link)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep K Ravikumar, and Inderjit S Dhillon.
Optimal classification with multivariate losses. International Conference on Machine Learning (ICML), 2016
(link)
Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, and Russell A Poldrack.
A simple and provable algorithm for sparse CCA. International Conference on Machine Learning (ICML), 2016
(link)
Shalmali Joshi, Joydeep Ghosh, Mark Reid, and Oluwasanmi Koyejo. Rényi divergence minimization based co-regularized multiview clustering.
Machine Learning, 2016, (link)
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.
Long-term neural, behavioral, and physiological phenotyping of a single human: The myconnectome project.
Nature Communications, 2015
(PDF)
Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, and Inderjit Dhillon. Consistent multilabel classification.
In Advances in Neural Information Processing Systems (NIPS) 28, 2015
(link)
Vanessa V Sochat, Krzysztof J. Gorgolewski, Oluwasanmi Koyejo, Joke Durnez and Russell A Poldrack.
Effects of thresholding on correlation-based image similarity metrics. Frontiers in Neuroscience, 9:418, 2015
(Frontiers)
Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, and Joydeep Ghosh.
Simultaneous prognosis and exploratory analysis of multiple chronic conditions using clinical notes.
In Proceedings of the IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015), 2015
(IEEE)
James M Shine, Oluwasanmi Koyejo, Peter T Bell, Krzysztov J Gorgolewski, Moran Gilat, and Russell A Poldrack.
Estimation of dynamic functional connectivity using multiplicative analytical coupling. NeuroImage, 122:399–407, 2015
(pubmed)
Avradeep Bhowmik, Joydeep Ghosh, and Oluwasanmi Koyejo. Generalized linear models for aggregated data.
In Proceedings of the 18th International conference on Artificial Intelligence and Statistics (AISTATS), 2015 (Oral)
(link)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, and Oluwasanmi Koyejo. Sparse submodular probabilistic PCA.
In Proceedings of the 18th International conference on Artificial Intelligence and Statistics (AISTATS), 2015 (Oral)
(link)
Oluwasanmi Koyejo*, Nagarajan Natarajan*, Pradeep Ravikumar, and Inderjit Dhillon. Consistent binary classification with generalized performance metrics.
In Advances in Neural Information Processing Systems (NIPS) 27, 2014 (Spotlight)
(link)
Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, and Russell A Poldrack. On prior distributions and approximate inference for structured variables.
In Advances in Neural Information Processing Systems (NIPS) 27, 2014
(link)
Anqi Wu, Mijung Park, Oluwasanmi Koyejo, and Jonathan Pillow. Sparse dependent Bayesian structure learning.
In Advances in Neural Information Processing Systems (NIPS) 27, 2014
(link)
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh. A constrained matrix-variate Gaussian process for
transposable data. Machine Learning, 2014, (Preprint)
(link)
Oluwasanmi Koyejo and Joydeep Ghosh. Constrained Bayesian inference for low rank multitask learning.
In Proceedings of the 29th conference on Uncertainty in artificial intelligence (UAI), 2013.
(Awarded Amazon best student paper prize)
(pdf)
(Google Scholar)
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. Towards open sharing of task-based fMRI data: The OpenfMRI project. Frontiers in
Neuroinformatics, 2013
(link)
(Google Scholar)
Mijung Park*, Oluwasanmi Koyejo*, Joydeep Ghosh, Russell A. Poldrack, and Jonathan W. Pillow. Bayesian
structure learning for functional neuroimaging. In International Conference on Artificial Intelligence and
Statistics (AISTATS), 2013
(pdf)
(Google Scholar)
Cheng Lee, Oluwasanmi Koyejo, and Joydeep Ghosh. Identifying candidate disease genes using a trace norm
constrained bipartite raking model. In Engineering in Medicine and Biology Society (EMBC), 2013
(pdf)
(Google Scholar)
Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, and Russell A. Poldrack. Learning predictive cognitive structure from fMRI using
supervised topic models. In International Workshop on Pattern Recognition in NeuroImaging (PRNI), 2013
(pdf)
(Google Scholar)
Oluwasanmi Koyejo, Sreangsu Acharyya, and Joydeep Ghosh.
Retargeted matrix factorization for collaborative filtering, 2013.
In Proceedings of the 7th ACM conference on Recommender systems (RecSys '13). ACM, New York, NY, USA, 49-56.
(ACM)
(Google Scholar)
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh,
Constrained Gaussian Process Regression for Gene-Disease Association.
ICDM Workshop on Biological Data Mining and its Applications in Healthcare, 2013.
(DOI)
(Google Scholar)
Oluwasanmi Koyejo and Russell A. Poldrack. Decoding cognitive processes from functional MRI.
NIPS Workshop on Machine Learning and Interpretation in Neuroimaging, 2013
(pdf)
Sreangsu Acharyya*, Oluwasanmi Koyejo*, and Joydeep Ghosh. Learning to rank with Bregman divergences
and monotone retargeting. In Proceedings of the 28th conference on Uncertainty in artificial intelligence
(UAI), 2012
(pdf)
(Google Scholar)
Oluwasanmi Koyejo and Joydeep Ghosh. A kernel-based approach to exploiting interaction-networks in
heterogeneous information sources for improved recommender systems. In Proceedings of the 2nd International
Workshop on Information Heterogeneity and Fusion in Recommender Systems (HETREC). ACM, 2011
(pdf)
(Google Scholar)
Oluwasanmi Koyejo and Joydeep Ghosh. MiPPS; a generative model for multi-manifold clustering. In AAAI
Fall Symposium on Manifold Learning and Its Applications. AAAI Press, 2009
(pdf)
(Google Scholar)
*Equal Contribution.
Thesis:
Oluwasanmi Koyejo. Constrained relative entropy minimization with applications to multitask learning.
University of Texas at Austin, 2013.
(link)
(Google Scholar)
Preprints:
Gilron, R., Rosenblatt, J., Koyejo, O., Poldrack, R. A., & Mukamel, R. (2016).
Quantifying spatial pattern similarity in multivariate analysis using functional anisotropy.
arXiv preprint arXiv:1605.03482.
(arxiv)
Shine, J. M., Koyejo, O., & Poldrack, R. A. (2016).
Temporal meta-states are associated with differential patterns of dynamic connectivity, network topology and attention.
arXiv preprint arXiv:1601.05065.
(arxiv)
James M Shine, Peter T Bell, Oluwasanmi Koyejo, Krzysztov J Gorgolewski, Moran Gilat, and Russell A Poldrack.
Dynamic fluctuations in integration and segregation within the human functional connectome. arXiv:1511.02976, 2015
(arxiv)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep K Ravikumar, and Inderjit S Dhillon.
Optimal decision-theoretic classification using non-decomposable performance metrics. arXiv:1505.01802, 2015
(arxiv)
Wesley Tansey, Oluwasanmi Koyejo, Russell A. Poldrack and James G. Scott. False discovery rate smoothing. arXiv:1411.6144, 2014
(arxiv)
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh. The trace norm constrained matrix-variate Gaussian
process for multitask bipartite ranking. arXiv:1302.2576, 2013
(arxiv)
Peer-reviewed workshop papers:
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, and Oluwasanmi Koyejo.
A deflation method for probabilistic PCA. In NIPS workshop on Advances in Approximate Bayesian Inference, 2015
Shalmali Joshi, Oluwasanmi Koyejo, and Joydeep Ghosh. Constrained inference for multi-view clustering.
In ICML Workshop on Divergence Methods for Probabilistic Inference, 2014
(pdf)
Oluwasanmi Koyejo and Joydeep Ghosh. A representation approach for relative entropy minimization with
expectation constraints. In ICML workshop on Divergences and Divergence Learning (WDDL), 2013
(pdf)
(Google Scholar)
Oluwasanmi Koyejo, Sreangsu Acharyya, and Joydeep Ghosh. Ratings Re-specification for Rank Ordered Recommendations
(UAI workshop on New Challenges in E-Commerce Recommendations), 2013
(pdf)
(
Google Scholar)
Oluwasanmi Koyejo and Jeff Andrews. Capacity gains of multi-user diversity in a cellular downlink interference-limited environment.
In GAIN 2007 student conference, February 2007
Peer-reviewed abstracts:
Mac Shine, Oluwasanmi Koyejo, Russell Poldrack.
Temporal meta-states are associated with distinct patterns of dynamics, topology and attention.
Organization for Human Brain Mapping (Abstract), 2016
Patrick Bissett, Mac Shine, Oluwasanmi Koyejo, Krzysztof Gorgolewski, Russell Poldrack.
Fluctuations in network topology predict N-back correct and errors preferentially during high load.
Organization for Human Brain Mapping (Abstract), 2016
Oluwasanmi Koyejo, Peter Diao, Madeleine Udell, Bala Rajaratnam, Russell Poldrack.
Comparing Functional Connectivity using Graphons.
Organization for Human Brain Mapping (Abstract), 2016
Michael Andersen, Oluwasanmi Koyejo, Russell Poldrack.
Model-based dynamic resting state functional connectivity.
Organization for Human Brain Mapping (Abstract), 2016
Anqi Wu, Oluwasanmi Koyejo, and Jonathan Pillow. Sparse dependent Bayesian structure learning.
Computational and Systems Neuroscience (Cosyne) 2016
James M Shine, Oluwasanmi Koyejo, Peter T Bell, Krzysztov J Gorgolewski, Moran Gilat, and Russell A Poldrack.
Estimation of dynamic functional connectivity using multiplicative analytical coupling.
Organization for Human Brain Mapping (Abstract), 2015
Timothy Rubin, Michael N. Jones, Oluwasanmi Koyejo, and Tal Yarkoni.
Large-scale functional mapping of brain activity using a joint spatial and semantic topic model.
Organization for Human Brain Mapping (Abstract), 2015
Oluwasanmi Koyejo, David Reese McKay, Emma E.M. Knowles, John Blangero, David Glahn and Russell A. Poldrack.
Exploratory Analysis of Imaging and Behavioral Phenotypes with Sparse CCA.
In Organization for Human Brain Mapping, 2014
(F1000 posters)
Russell A. Poldrack, Timothy Laumann, Laurie Frick, Oluwasanmi Koyejo, Brenda Gregory, Ashleigh Hover, Mei-Yen Chen,
Alex Huk, Sung Jun Joo, Evan Gordon, Avi Snyder, Babatunde Adeyemo, Daniel Handwerker, Jackson Liang, Ryan Boyd
Zack Booth Simpson, Scott Hunicke-Smith, Thomas Caven, Edward Marcotte, Steven E. Petersen, Jeanette A. Mumford.
Extensive neurocognitive phenotyping of a single human: The MyConnectome Project.
In Organization for Human Brain Mapping, 2014 (MyConnectome project)
Academic Magazine Publications:
S. Ryali, T. Chen, B. Ng, and O. Koyejo. Message from program chairs: PRNI 2015.
In Pattern Recognition in NeuroImaging (PRNI), 2015 International Workshop on, pages ix–ix, June 2015
(link)
Oluwasanmi Koyejo. Manifold learning and its applications: Reports of the AAAI 2010 fall symposia. AI
Magazine, 32(1):93–100, 2011
(link)
Richard Souvenir and Oluwasanmi Koyejo. Manifold learning and its applications: Reports of the AAAI 2009
fall symposia. AI Magazine, 31(1):88–94, 2010
(link)