Oluwasanmi Koyejo
Orcid: 0000-0002-4023-419XAffiliations:
- University of Illinois at Urbana-Champaign, Department of Computer Science
- Stanford University, Poldrack Lab
According to our database1,
Oluwasanmi Koyejo
authored at least 155 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa.
CoRR, 2024
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.
CoRR, 2024
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting.
CoRR, 2023
CoRR, 2023
Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data.
CoRR, 2023
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions.
CoRR, 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa.
CoRR, 2023
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions.
Proceedings of the International Conference on Machine Learning, 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
J. Mach. Learn. Res., 2022
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations.
CoRR, 2022
CoRR, 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence.
CoRR, 2022
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning.
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
ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security.
Algorithms, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022
Fully Automated Conversion Of Glioma Clinical MRI Scans Into A 3D Virtual Reality Model For Presurgical Planning.
Proceedings of the Annual Modeling and Simulation Conference, 2022
Proceedings of the International Conference on 3D Vision, 2022
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