Oluwasanmi Oluseye Koyejo

20092019
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Research Output 2009 2019

2019

Clustered monotone transforms for rating factorization

Hiranandani, G., Koyejo, O. O., Somani, R. & Acharyya, S., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 132-140 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Recommender systems
Mathematical transformations

Human cognition involves the dynamic integration of neural activity and neuromodulatory systems

Shine, J. M., Breakspear, M., Bell, P. T., Ehgoetz Martens, K., Shine, R., Koyejo, O. O., Sporns, O. & Poldrack, R. A., Feb 1 2019, In : Nature Neuroscience. 22, 2, p. 289-296 8 p.

Research output: Contribution to journalArticle

Cognition
Connectome
Systems Integration
Brain
Molecular Dynamics Simulation

Publisher Correction: Human cognition involves the dynamic integration of neural activity and neuromodulatory systems (Nature Neuroscience, (2019), 22, 2, (289-296), 10.1038/s41593-018-0312-0)

Shine, J. M., Breakspear, M., Bell, P. T., Ehgoetz Martens, K. A., Shine, R., Koyejo, O. O., Sporns, O. & Poldrack, R. A., Jun 1 2019, In : Nature Neuroscience. 22, 6, 1 p.

Research output: Contribution to journalComment/debate

Open Access
Mustelidae
Neurosciences
Cognition
Names
2018

Bayesian structure learning for dynamic brain connectivity

Andersen, M. R., Winther, O., Hansen, L. K., Poldrack, R. & Koyejo, O. O., Jan 1 2018, p. 1436-1446. 11 p.

Research output: Contribution to conferencePaper

Bayesian Learning
Structure Learning
Brain
Connectivity
Estimate

Binary classification with karmic, threshold-quasi-concave metrics

Yan, B., Koyejo, O. O., Zhong, K. & Ravikumar, P., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 8792-8804 13 p. (35th International Conference on Machine Learning, ICML 2018; vol. 12).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Supervised learning
Statistical methods

Clustered fused graphical Lasso

Zhu, Y. & Koyejo, O. O., Jan 1 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 487-496 10 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

False Discovery Rate Smoothing

Tansey, W., Koyejo, O. O., Poldrack, R. A. & Scott, J. G., Jul 3 2018, In : Journal of the American Statistical Association. 113, 523, p. 1156-1171 16 p.

Research output: Contribution to journalArticle

Smoothing
Multiple Testing
Augmented Lagrangians
Empirical Bayes Method
Working Memory
2017

A deflation method for structured probabilistic PCA

Khanna, R., Ghosh, J., Poldrack, R. & Koyejo, O. O., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Society for Industrial and Applied Mathematics Publications, p. 534-542 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Principal component analysis
Neuroimaging
Regain
Scalability
Recovery

Consistency analysis for binary classification revisited

Dembczyriski, K., Kottowski, W., Koyejo, O. O. & Natarajan, N., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), Vol. 3. p. 1597-1613 17 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition

Rubin, T. N., Koyejo, O. O., Gorgolewski, K. J., Jones, M. N., Poldrack, R. A. & Yarkoni, T., Oct 1 2017, In : PLoS computational biology. 13, 10, e1005649.

Research output: Contribution to journalArticle

Atlases
cognition
Atlas
Cognition
atlas

Frequency domain predictive modelling with aggregated data

Bhowmik, A., Ghosh, J. & Koyejo, O. O., Jan 1 2017.

Research output: Contribution to conferencePaper

Predictive Modeling
Frequency Domain
Climate
Fourier analysis
Generalization Error

Information projection and approximate inference for structured sparse variables

Khanna, R., Ghosh, J., Poldrack, R. & Koyejo, O. O., Jan 1 2017.

Research output: Contribution to conferencePaper

Projection
Neuroimaging
Factorization
Probabilistic Model
Principal component analysis

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Esteban, O., Birman, D., Schaer, M., Koyejo, O. O., Poldrack, R. A. & Gorgolewski, K. J., Jan 1 2017, In : PloS one. 12, 9, p. e0184661

Research output: Contribution to journalArticle

Quality Control
Magnetic resonance imaging
Image quality
quality control
Quality control

What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level

Gilron, R., Rosenblatt, J., Koyejo, O. O., Poldrack, R. A. & Mukamel, R., Feb 1 2017, In : NeuroImage. 146, p. 113-120 8 p.

Research output: Contribution to journalArticle

Neuroimaging
Multivariate Analysis
Brain
Datasets
2016

A simple and provable algorithm for sparse diagonal CCA

Asteris, M., Kyrillidis, A., Koyejo, O. O. & Poldrack, R., Jan 1 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 1774-1783 10 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Hinges
Computational complexity
Brain

Examples are not enough, learn to criticize! Criticism for interpretability

Kim, B., Khanna, R. & Koyejo, O. O., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2288-2296 9 p.

Research output: Contribution to journalArticle

Classifiers

Generalized correspondence-LDA models (GC-LDA) for identifying functional regions in the brain

Rubin, T. N., Koyejo, O. O., Jones, M. N. & Yarkoni, T., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 1126-1134 9 p.

Research output: Contribution to journalConference article

Brain
Neuroimaging
Probability distributions
Linguistics

Optimal classification with multivariate losses

Natarajan, N., Koyejo, O. O., Ravikumar, P. & Dhillon, I. S., 2016, 33rd International Conference on Machine Learning, ICML 2016. International Machine Learning Society (IMLS), Vol. 4. p. 2283-2295 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information retrieval
Sorting
Labels

Preference completion from partial rankings

Gunasekar, S., Koyejo, O. O. & Ghosh, J., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 1378-1386 9 p.

Research output: Contribution to journalConference article

Computational complexity
Brain

Rényi divergence minimization based co-regularized multiview clustering

Joshi, S., Ghosh, J., Reid, M. & Koyejo, O. O., Sep 1 2016, In : Machine Learning. 104, 2-3, p. 411-439 29 p.

Research output: Contribution to journalArticle

Information fusion

Sparse parameter recovery from aggregated data

Bhowmik, A., Ghosh, J. & Koyejo, O. O., Jan 1 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 1726-1741 16 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parameter estimation
Agglomeration
Recovery
Communication
Costs
Magnetic Resonance Imaging
Oxygen
Brain
Cognitive Neuroscience
Datasets

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O. O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A. & Poldrack, R. A., Oct 19 2016, In : Neuron. 92, 2, p. 544-554 11 p.

Research output: Contribution to journalArticle

Task Performance and Analysis
Brain
Community Integration
Aptitude
Pupil
2015

Consistent multilabel classification

Koyejo, O. O., Natarajan, N., Ravikumar, P. & Dhillon, I. S., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 3321-3329 9 p.

Research output: Contribution to journalConference article

Classifiers
Labels

Effects of thresholding on correlation-based image similarity metrics

Sochat, V. V., Gorgolewski, K. J., Koyejo, O. O., Durnez, J. & Poldrack, R. A., Jan 1 2015, In : Frontiers in Neuroscience. 9, OCT, 418.

Research output: Contribution to journalArticle

Brain
Masks
Neuroimaging
Meta-Analysis

Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives

Shine, J. M., Koyejo, O. O., Bell, P. T., Gorgolewski, K. J., Gilat, M. & Poldrack, R. A., Nov 15 2015, In : NeuroImage. 122, p. 399-407 9 p.

Research output: Contribution to journalArticle

Neurosciences
Brain
Datasets

Generalized linear models for aggregated data

Bhowmik, A., Ghosh, J. & Koyejo, O. O., Jan 1 2015, In : Journal of Machine Learning Research. 38, p. 93-101 9 p.

Research output: Contribution to journalConference article

Generalized Linear Model
Statistics
Histogram
Testing
Bins

Long-term neural and physiological phenotyping of a single human

Poldrack, R. A., Laumann, T. O., Koyejo, O. O., Gregory, B., Hover, A., Chen, M. Y., Gorgolewski, K. J., Luci, J., Joo, S. J., Boyd, R. L., Hunicke-Smith, S., Simpson, Z. B., Caven, T., Sochat, V., Shine, J. M., Gordon, E., Snyder, A. Z., Adeyemo, B., Petersen, S. E., Glahn, D. C. & 11 others, Mckay, D. R., Curran, J. E., Göring, H. H. H., Carless, M. A., Blangero, J., Dougherty, R., Leemans, A., Handwerker, D. A., Frick, L., Marcotte, E. M. & Mumford, J. A., Dec 9 2015, In : Nature communications. 6, 8885.

Research output: Contribution to journalArticle

brain
Brain
gene expression
Gene expression
Psychology

Message from the Program Chairs

Ryali, S., Chen, T., Ng, B. & Koyejo, O. O., Sep 16 2015, In : Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015. p. ix 7270829.

Research output: Contribution to journalEditorial

Simultaneous prognosis and exploratory analysis of multiple chronic conditions using clinical notes

Joshi, S., Koyejo, O. O., Resurreccion, K. & Ghosh, J., Dec 8 2015, Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. Fu, W-T., Balakrishnan, P., Harabagiu, S., Wang, F. & Srivatsava, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 243-252 10 p. 7349697. (Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electronic Health Records
Morbidity
Delivery of Health Care
Multiple Chronic Conditions
Therapeutics

Sparse submodular probabilistic PCA

Khanna, R., Ghosh, J., Poldrack, R. A. & Koyejo, O. O., Jan 1 2015, In : Journal of Machine Learning Research. 38, p. 453-461 9 p.

Research output: Contribution to journalConference article

Parameter estimation
Principal component analysis
Decomposition
Recovery
Functional Magnetic Resonance Imaging
2014

A constrained matrix-variate Gaussian process for transposable data

Koyejo, O. O., Lee, C. & Ghosh, J., Jan 1 2014, In : Machine Learning. 97, 1-2, p. 103-127 25 p.

Research output: Contribution to journalArticle

Genes
Recommender systems
Ontology
Data structures

Consistent binary classification with generalized performance metrics

Koyejo, O. O., Natarajan, N., Ravikumar, P. & Dhillon, I. S., Jan 1 2014, In : Advances in Neural Information Processing Systems. 3, January, p. 2744-2752 9 p.

Research output: Contribution to journalConference article

Classifiers

On prior distributions and approximate inference for structured variables

Koyejo, O. O., Khanna, R., Ghosh, J. & Poldrack, R. A., Jan 1 2014, In : Advances in Neural Information Processing Systems. 1, January, p. 676-684 9 p.

Research output: Contribution to journalConference article

Functional neuroimaging
Neuroimaging
Recovery

Sparse Bayesian structure learning with dependent relevance determination prior

Wu, A., Park, M., Koyejo, O. O. & Pillow, J. W., Jan 1 2014, In : Advances in Neural Information Processing Systems. 2, January, p. 1628-1636 9 p.

Research output: Contribution to journalConference article

Linear regression
Tensors
Brain
Imaging techniques
2013

Bayesian structure learning for functional neuroimaging

Park, M., Koyejo, O. O., Ghosh, J., Poldrack, R. A. & Pillow, J. W., 2013, In : Journal of Machine Learning Research. 31, p. 489-497 9 p.

Research output: Contribution to journalArticle

Functional neuroimaging
Neuroimaging
Bayesian Learning
Structure Learning
Brain

Constrained Bayesian inference for low rank multitask learning

Koyejo, O. O. & Ghosh, J., Nov 28 2013, p. 341-350. 10 p.

Research output: Contribution to conferencePaper

Functional neuroimaging
Parameter estimation
Recovery

Constrained Gaussian process regression for gene-disease association

Koyejo, O. O., Lee, C. & Ghosh, J., Jan 1 2013, p. 72-79. 8 p.

Research output: Contribution to conferencePaper

Genes
Ontology

Identifying candidate disease genes using a trace norm constrained bipartite raking model

Lee, C. H., Koyejo, O. O. & Ghosh, J., Oct 31 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. p. 3459-3462 4 p. 6610286. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genes
Observation

Learning predictive cognitive structure from fMRI using supervised topic models

Koyejo, O. O., Patel, P., Ghosh, J. & Poldrack, R. A., Oct 15 2013, Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013. p. 9-12 4 p. 6603544. (Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Labels
Visualization
Magnetic Resonance Imaging
Recovery

Retargeted matrix factorization for collaborative filtering

Koyejo, O. O., Acharyya, S. & Ghosh, J., Nov 20 2013, RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems. p. 49-56 8 p. (RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Collaborative filtering
Factorization

Towards open sharing of task-based fMRI data: The OpenfMRI project

Poldrack, R. A., Barch, D. M., Mitchell, J. P., Wager, T. D., Wagner, A. D., Devlin, J. T., Cumba, C., Koyejo, O. O. & Milham, M. P., Jun 8 2013, In : Frontiers in Neuroinformatics. 7, JUNE, 12.

Research output: Contribution to journalArticle

Aptitude
Neuroimaging
Magnetic Resonance Imaging
Mental Processes
Functional Neuroimaging
2012

Learning to rankwith bregman divergences and monotone retargeting

Acharyya, S., Koyejo, O. O. & Ghosh, J., Dec 1 2012, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012. p. 16-25 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parameter estimation
2011

A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems

Koyejo, O. O. & Ghosh, J., Nov 23 2011, Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec 2011 - Held at the 5th ACM Conference on Recommender Systems, RecSys 2011. p. 9-16 8 p. (Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec 2011 - Held at the 5th ACM Conference on Recommender Systems, RecSys 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recommender systems
Factorization
Experiments

Reports of the AAAI 2010 fall symposia

Azevedo, R., Biswas, G., Bohus, D., Carmichael, T., Finlayson, M. A., Hadzikadic, M., Havasi, C., Horvitz, E., Kanda, T., Koyejo, O. O., Lawless, W. F., Lenat, D., Meneguzzi, F., Mutlu, B., Oh, J., Pirrone, R., Raux, A., Sofge, D. A., Sukthankar, G., Van Durme, B. & 1 others, Yorke-Smith, N., Mar 2011, In : AI Magazine. 32, 1, p. 93-100 8 p.

Research output: Contribution to journalArticle

Artificial intelligence
Adaptive systems
Robustness (control systems)
Semantics
Robots
2010

Preface: Manifold learning and its applications

Koyejo, O. O. & Souvenir, R., 2010, In : AAAI Fall Symposium - Technical Report. FS-10-06

Research output: Contribution to journalEditorial

Reports on the AAAI 2009 fall symposia

Azevedo, R., Bench-Capon, T., Biswas, G., Carmichael, T., Green, N., Hadzikadic, M., Koyejo, O. O., Kurup, U., Parsons, S., Pirrone, R., Prakken, H., Samsonovich, A., Scott, D. & Souvenir, R., Jan 1 2010, In : AI Magazine. 31, 1, p. 88-94 7 p.

Research output: Contribution to journalArticle

Natural sciences
Social sciences
Adaptive systems
Technical presentations
2009

MiPPS: A generative model for multi-manifold clustering

Koyejo, O. O. & Ghosh, J., 2009, Manifold Learning and Its Applications - Papers from the AAAI Fall Symposium, Technical Report. Vol. FS-09-04. p. 18-25 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Visualization