Oluwasanmi Koyejo
Affiliations:- University of Illinois at Urbana-Champaign, Department of Computer Science
- Stanford University, Poldrack Lab
According to our database1,
Oluwasanmi Koyejo
authored at least 107 papers
between 2009 and 2022.
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Bibliography
2022
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning.
CoRR, 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.
CoRR, 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
CoRR, 2022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR, 2022
2021
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence.
CoRR, 2021
Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task.
Brain Informatics, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
J. Mach. Learn. Res., 2019
Learning Controllable Disentangled Representations with Decorrelation Regularization.
CoRR, 2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates.
CoRR, 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.
CoRR, 2019
Practical Distributed Learning: Secure Machine Learning with Communication-Efficient Local Updates.
CoRR, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition.
PLoS Comput. Biol., 2017
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level.
NeuroImage, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Mach. Learn., 2016
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives.
NeuroImage, 2015
Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Mach. Learn., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Frontiers Neuroinformatics, 2013
The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking
CoRR, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Identifying candidate disease genes using a trace norm constrained bipartite raking model.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
2011
A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems.
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011
2010
Proceedings of the Manifold Learning and Its Applications, 2010
Proceedings of the Manifold Learning and Its Applications, 2010
2009
Proceedings of the Manifold Learning and Its Applications, 2009