Oluwasanmi Oluseye Koyejo

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Oluwasanmi Oluseye Koyejo

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  • 2023

    Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks

    Xie, C., Long, Y., Chen, P. Y., Li, Q., Koyejo, S. & Li, B., Nov 15 2023, CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 1511-1525 15 p. (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2022

    A Reduction to Binary Approach for Debiasing Multiclass Datasets

    Alabdulmohsin, I., Schrouff, J. & Koyejo, O., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction

    Xie, Y., Wang, D., Chen, P. Y., Xiong, J., Liu, S. & Koyejo, S., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 587-599 13 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Controllable Radiance Fields for Dynamic Face Synthesis

    Zhuang, P., Ma, L., Koyejo, S. & Schwing, A., 2022, Proceedings - 2022 International Conference on 3D Vision, 3DV 2022. Institute of Electrical and Electronics Engineers Inc., p. 646-656 11 p. (Proceedings - 2022 International Conference on 3D Vision, 3DV 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • CoPur: Certifiably Robust Collaborative Inference via Feature Purification

    Liu, J., Xie, C., Koyejo, O. O. & Li, B., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

    Schrouff, J., Harris, N., Koyejo, O., Alabdulmohsin, I., Schnider, E., Opsahl-Ong, K., Brown, A., Roy, S., Mincu, D., Chen, C., Dieng, A., Liu, Y., Natarajan, V., Karthikesalingam, A., Heller, K., Chiappa, S. & D'Amour, A., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fair Wrapping for Black-box Predictions

    Soen, A., Alabdulmohsin, I., Koyejo, S., Mansour, Y., Moorosi, N., Nock, R., Sun, K. & Xie, L., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fully Automated Conversion Of Glioma Clinical MRI Scans Into A 3D Virtual Reality Model For Presurgical Planning

    Tucker, N., Sutton, B. P., Duncan, C., Lu, C., Koyejo, S., Tsung, A. J., Maksimovic, J., Ralph, T., Pieta, S. M. & Bramlet, M. T., 2022, Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022. Martin, C. R., Emami, N., Blas, M. J. & Rezaee, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 392-403 12 p. (Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quadratic Metric Elicitation for Fairness and Beyond

    Hiranandani, G., Mathur, J., Narasimhan, H. & Koyejo, O., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 811-821 11 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    Labeling cost sensitive batch active learning for brain tumor segmentation

    Shen, M., Zhang, J. Y., Chen, L., Yan, W., Jani, N., Sutton, B. & Koyejo, O., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 1269-1273 5 p. 9434098. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning to recover sharp detail from simulated low-dose ct studies

    Cole, P., Pyrros, A. & Koyejo, O., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 748-752 5 p. 9434011. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Optimizing Black-box Metrics with Iterative Example Weighting

    Hiranandani, G., Mathur, J., Narasimhan, H., Fard, M. M. & Koyejo, O., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4239-4249 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Some New Tricks for Deep Glioma Segmentation

    Duncan, C., Roxas, F., Jani, N., Maksimovic, J., Bramlet, M., Sutton, B. & Koyejo, S., 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 320-330 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability

    Liang, K., Zhang, J. Y., Wang, B., Yang, Z., Koyejo, O. & Li, B., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 6577-6587 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure

    Liu, R., Subakan, C., Balwani, A. H., Whitesell, J., Harris, J., Koyejo, S. & Dyer, E. L., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer, p. 257-266 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12265 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On the consistency of top-k surrogate losses

    Yang, F. & Koyejo, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10658-10666 9 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Optimization and analysis of the pap@k metric for recommender systems

    Hiranandani, G., Vijitbenjaronk, W., Koyejo, O. & Jain, P., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 4210-4220 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-6).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • SLSGD: Secure and Efficient Distributed On-device Machine Learning

    Xie, C., Koyejo, O. & Gupta, I., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 213-228 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Zeno++: robust fully asynchronous SGD

    Xie, C., Koyejo, O. & Gupta, I., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10426-10434 9 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2019

    Aggregation for Sensitive Data

    Bhowmik, A., Ghosh, J. & Koyejo, O., Jul 2019, 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019. Institute of Electrical and Electronics Engineers Inc., 9030955. (2019 13th International Conference on Sampling Theory and Applications, SampTA 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Clustered monotone transforms for rating factorization

    Hiranandani, G., Koyejo, 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, 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 proceeding › Conference contribution

    Open Access

  • FMRI data augmentation via synthesis

    Zhuang, P., Schwing, A. G. & Koyejo, O., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1783-1787 5 p. 8759585. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Max-sliced wasserstein distance and its use for gans

    Deshpande, I., Hu, Y. T., Sun, R., Pyrros, A., Siddiqui, N., Koyejo, S., Zhao, Z., Forsyth, D. & Schwing, A. G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10640-10648 9 p. 8953668. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Partially linear additive Gaussian graphical models

    Geng, S., Yan, M., Kolar, M. & Koyejo, O., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 3827-3847 21 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging

    Zhuang, P., Chapman, B., Li, R. & Koyejo, S., Nov 2019, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. Matthews, M. B. (ed.). IEEE Computer Society, p. 1192-1196 5 p. 9048971. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2019-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance

    Xie, C., Koyejo, O. & Gupta, I., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 11928-11944 17 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2018

    Binary classification with karmic, threshold-quasi-concave metrics

    Yan, B., Koyejo, O., Zhong, K. & Ravikumar, P., 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 proceeding › Conference contribution

  • Clustered fused graphical Lasso

    Zhu, Y. & Koyejo, O., 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 proceeding › Conference contribution

  • 2017

    A deflation method for structured probabilistic PCA

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Consistency analysis for binary classification revisited

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2016

    A simple and provable algorithm for sparse diagonal CCA

    Asteris, M., Kyrillidis, A., Koyejo, O. & Poldrack, R., 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 proceeding › Conference contribution

  • Optimal classification with multivariate losses

    Natarajan, N., Koyejo, O., Ravikumar, P. & Dhillon, I. S., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 2283-2295 13 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sparse parameter recovery from aggregated data

    Bhowmik, A., Ghosh, J. & Koyejo, O., 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 proceeding › Conference contribution

  • 2015

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

    Joshi, S., Koyejo, 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 proceeding › Conference contribution

  • 2013

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

    Lee, C. H., Koyejo, O. & Ghosh, J., 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 proceeding › Conference contribution

  • Learning predictive cognitive structure from fMRI using supervised topic models

    Koyejo, O., Patel, P., Ghosh, J. & Poldrack, R. A., 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 proceeding › Conference contribution

    Open Access

  • Retargeted matrix factorization for collaborative filtering

    Koyejo, O., Acharyya, S. & Ghosh, J., 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 proceeding › Conference contribution

  • 2012

    Learning to rankwith bregman divergences and monotone retargeting

    Acharyya, S., Koyejo, O. & Ghosh, J., 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 proceeding › Conference contribution

  • 2011

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

    Koyejo, O. & Ghosh, J., 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 proceeding › Conference contribution

    Open Access
  • 2009

    MiPPS: A generative model for multi-manifold clustering

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution