Oluwasanmi Koyejo

Oluwasanmi Koyejo, Joydeep Ghosh, Cheng H. Lee, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Interpreting Black Box Predictions using Fisher Kernels

Oluwasanmi Koyejo, Joydeep Ghosh, Rajiv Khanna, 2018, AISTATS.

Quadratic Metric Elicitation with Application to Fairness pdf

Oluwasanmi Koyejo, Harikrishna Narasimhan, Gaurush Hiranandani, 2020, ArXiv.

Binary Classification with Karmic, Threshold-Quasi-Concave Metrics pdf

Oluwasanmi Koyejo, Pradeep Ravikumar, Kai Zhong, 2018, ICML.

Generalized Linear Models for Aggregated Data pdf

Oluwasanmi Koyejo, Joydeep Ghosh, Avradeep Bhowmik, 2016, AISTATS.

Toward open sharing of task-based fMRI data: the OpenfMRI project

Oluwasanmi Koyejo, Russell A. Poldrack, Michael P. Milham, 2013, Front. Neuroinform..

On the Consistency of Top-k Surrogate Losses pdf

Oluwasanmi Koyejo, Forest Yang, O. Koyejo, 2019, ICML.

Constrained Bayesian Inference for Low Rank Multitask Learning pdf

Oluwasanmi Koyejo, Joydeep Ghosh, O. Koyejo, 2013, UAI.

Advances and Open Problems in Federated Learning pdf

Richard Nock, Zaïd Harchaoui, David Evans, 2019, Found. Trends Mach. Learn..

Clustered Monotone Transforms for Rating Factorization

Oluwasanmi Koyejo, Raghav Somani, Sreangsu Acharyya, 2018, WSDM.

Learning Controllable Disentangled Representations with Decorrelation Regularization pdf

Oluwasanmi Koyejo, Zengjie Song, Jiangshe Zhang, 2019, ArXiv.

Zeno: Byzantine-suspicious stochastic gradient descent pdf

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2018, ArXiv.

Frequency Domain Predictive Modelling with Aggregated Data

Oluwasanmi Koyejo, Joydeep Ghosh, Avradeep Bhowmik, 2017, AISTATS.

A Contextual-Bandit-Based Approach for Informed Decision-Making in Clinical Trials pdf

Ravishankar K. Iyer, Oluwasanmi Koyejo, Yogatheesan Varatharajah, 2018, Life.

Eliciting Binary Performance Metrics pdf

Oluwasanmi Koyejo, Ruta Mehta, Gaurush Hiranandani, 2018, ArXiv.

Bayesian Structure Learning for Dynamic Brain Connectivity

Ole Winther, Oluwasanmi Koyejo, Lars Kai Hansen, 2018, AISTATS.

Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2018, ICML.

Learning the Base Distribution in Implicit Generative Models pdf

Oluwasanmi Koyejo, Paris Smaragdis, Y. Cem Sübakan, 2018, ArXiv.

xGEMs: Generating Examplars to Explain Black-Box Models pdf

Oluwasanmi Koyejo, Joydeep Ghosh, Been Kim, 2018, ArXiv.

Sparse Submodular Probabilistic PCA

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2015, AISTATS.

Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging

Oluwasanmi Koyejo, Ran Li, Peiye Zhuang, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Rényi divergence minimization based co-regularized multiview clustering

Oluwasanmi Koyejo, Joydeep Ghosh, Shalmali Joshi, 2016, Machine Learning.

Performance Metric Elicitation from Pairwise Classifier Comparisons

Oluwasanmi Koyejo, Ruta Mehta, Gaurush Hiranandani, 2018, AISTATS.

Consistent Binary Classification with Generalized Performance Metrics

Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, 2014, NIPS.

Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information pdf

Oluwasanmi Koyejo, Prateek Jain, Gaurush Hiranandani, 2020, ArXiv.

Reports of the AAAI 2010 Fall Symposia

Roberto Pirrone, Gita Reese Sukthankar, Gautam Biswas, 2011, AI Mag..

Information Projection and Approximate Inference for Structured Sparse Variables pdf

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2016, AISTATS.

Bayesian Coresets: An Optimization Perspective pdf

Anastasios Kyrillidis, Oluwasanmi Koyejo, Rajiv Khanna, 2020, ArXiv.

Does Adversarial Transferability Indicate Knowledge Transferability? pdf

Oluwasanmi Koyejo, Kaizhao Liang, Bo Li, 2020, ArXiv.

Effects of thresholding on correlation-based image similarity metrics

Oluwasanmi Koyejo, Russell A. Poldrack, Krzysztof J. Gorgolewski, 2015, Front. Neurosci..

Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates pdf

Indranil Gupta, Oluwasanmi Koyejo, Haibin Lin, 2019, ArXiv.

EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision pdf

Jimeng Sun, Oluwasanmi Koyejo, Ayis Pyrros, 2020, ArXiv.

Aggregation for Sensitive Data

Oluwasanmi Koyejo, Joydeep Ghosh, Avradeep Bhowmik, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking pdf

Oluwasanmi Koyejo, Joydeep Ghosh, Cheng H. Lee, 2013, ArXiv.

Learning to Rank With Bregman Divergences and Monotone Retargeting

Oluwasanmi Koyejo, Joydeep Ghosh, Sreangsu Acharyya, 2012, UAI.

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

Oluwasanmi Koyejo, Russell A. Poldrack, Roee Gilron, 2016, NeuroImage.

Multiclass Performance Metric Elicitation

Oluwasanmi Koyejo, Ruta Mehta, Gaurush Hiranandani, 2019, NeurIPS.

On Prior Distributions and Approximate Inference for Structured Variables

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2014, NIPS.

Reports of the AAAI 2009 Fall Symposia

Roberto Pirrone, Trevor J. M. Bench-Capon, Henry Prakken, 2010, AI Mag..

Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013

Oluwasanmi Koyejo, Joydeep Ghosh, O. Koyejo, 2013, UAI 2013.

Optimal Classification with Multivariate Losses

Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, 2016, ICML.

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

Oluwasanmi Koyejo, Olaf Sporns, Michael Breakspear, 2019, Nature Neuroscience.

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

Timothy N. Rubin, Oluwasanmi Koyejo, Russell A. Poldrack, 2016 .

False Discovery Rate Smoothing

Oluwasanmi Koyejo, Russell A. Poldrack, James G. Scott, 2014, Journal of the American Statistical Association.

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

Michael N. Jones, Timothy N. Rubin, Oluwasanmi Koyejo, 2016, bioRxiv.

MiPPS: A Generative Model for Multi-Manifold Clustering

Oluwasanmi Koyejo, Joydeep Ghosh, 2009, AAAI Fall Symposium: Manifold Learning and Its Applications.

Sparse Parameter Recovery from Aggregated Data

Oluwasanmi Koyejo, Joydeep Ghosh, Avradeep Bhowmik, 2016, ICML.

Retargeted matrix factorization for collaborative filtering

Oluwasanmi Koyejo, Joydeep Ghosh, Sreangsu Acharyya, 2013, RecSys.

Fairness with Overlapping Groups pdf

Oluwasanmi Koyejo, Forest Yang, Moustapha Cissé, 2020, ArXiv.

SLSGD: Secure and Efficient Distributed On-device Machine Learning

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2019, ECML/PKDD.

Bayesian Structure Learning for Functional Neuroimaging

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2013, AISTATS.

Organizing committee

Oluwasanmi Koyejo, Richard Souvenir, O. Koyejo, 2018, 2011 IEEE RadarCon (RADAR).

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

Oluwasanmi Koyejo, Olaf Sporns, Michael Breakspear, 2019, Nature Neuroscience.

A Deflation Method for Structured Probabilistic PCA

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2017, SDM.

Manifold Learning and its applications : papers from the AAAI Fall Symposium

Oluwasanmi Koyejo, Richard Souvenir, 2010 .

A Simple and Provable Algorithm for Sparse Diagonal CCA pdf

Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack, 2016, ICML.

Sparse Bayesian structure learning with dependent relevance determination priors

Oluwasanmi Koyejo, Mijung Park, Anqi Wu, 2014, NIPS.

Clustered Fused Graphical Lasso

Oluwasanmi Koyejo, Yizhi Zhu, 2018, UAI.

Optimization and Analysis of the pAp@k Metric for Recommender Systems

Oluwasanmi Koyejo, Prateek Jain, Warut Vijitbenjaronk, 2020, ICML.

Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes

Oluwasanmi Koyejo, Joydeep Ghosh, Shalmali Joshi, 2015, 2015 International Conference on Healthcare Informatics.

Asynchronous Federated Optimization pdf

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2019, ArXiv.

Joint Nonparametric Precision Matrix Estimation with Confounding

Oluwasanmi Koyejo, Mladen Kolar, Sinong Geng, 2018, UAI.

Consistency Analysis for Binary Classification Revisited

Oluwasanmi Koyejo, Nagarajan Natarajan, Wojciech Kotlowski, 2017, ICML.

Constrained Gaussian Process Regression for Gene-Disease Association

Oluwasanmi Koyejo, Joydeep Ghosh, Cheng H. Lee, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Learning Sparse Distributions using Iterative Hard Thresholding

Anastasios Kyrillidis, Oluwasanmi Koyejo, Rajiv Khanna, 2019, NeurIPS.

Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain

Michael N. Jones, Timothy N. Rubin, Oluwasanmi Koyejo, 2016, NIPS.

Dependent relevance determination for smooth and structured sparse regression

Oluwasanmi Koyejo, Anqi Wu, Jonathan W. Pillow, 2017, J. Mach. Learn. Res..

Towards a Deep Network Architecture for Structured Smoothness

Oluwasanmi Koyejo, Haroun Habeeb, Oluwasanmi Koyejo, 2020, ICLR.

Preference Completion from Partial Rankings

Oluwasanmi Koyejo, Joydeep Ghosh, Suriya Gunasekar, 2016, NIPS.

A constrained matrix-variate Gaussian process for transposable data

Oluwasanmi Koyejo, Joydeep Ghosh, Cheng H. Lee, 2014, Machine Learning.

Online Classification with Complex Metrics pdf

Oluwasanmi Koyejo, Pradeep Ravikumar, Kai Zhong, 2016, ArXiv.

Preface: Manifold Learning and Its Applications

Oluwasanmi Koyejo, Richard Souvenir, 2010, AAAI Fall Symposium: Manifold Learning and Its Applications.

Zeno++: Robust Fully Asynchronous SGD

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2020, ICML.

A Nonconvex Framework for Structured Dynamic Covariance Recovery pdf

Oluwasanmi Koyejo, Mladen Kolar, Katherine Tsai, 2020, ArXiv.

Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2019, UAI.

CSER: Communication-efficient SGD with Error Reset pdf

Indranil Gupta, Oluwasanmi Koyejo, Cong Xie, 2020, NeurIPS.

Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data

Oluwasanmi Koyejo, Joydeep Ghosh, Shalmali Joshi, 2015, 2015 International Conference on Healthcare Informatics.

Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information

Oluwasanmi Koyejo, Aditya Sinha, Prateek Jain, 2020 .

Towards A Controllable Disentanglement Network

Oluwasanmi Koyejo, Zengjie Song, Jiangshe Zhang, 2020, ArXiv.

Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics pdf

Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, 2015, ArXiv.

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

Oluwasanmi Koyejo, Joydeep Ghosh, 2011, HetRec '11.

Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models

Oluwasanmi Koyejo, Russell A. Poldrack, Joydeep Ghosh, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Consistent Classification with Generalized Metrics pdf

Xiaoyan Wang, Oluwasanmi Koyejo, Ran Li, 2019, ArXiv.

Advances and Open Problems in Federated Learning

Richard Nock, Zaïd Harchaoui, Mehdi Bennis, 2021, Found. Trends Mach. Learn..

Does MAML Only Work via Feature Re-use? A Data Centric Perspective pdf

Oluwasanmi Koyejo, Brando Miranda, Yu-Xiong Wang, 2021, ArXiv.

Optimizing Black-box Metrics with Iterative Example Weighting

Oluwasanmi Koyejo, Harikrishna Narasimhan, Mahdi Milani Fard, 2021, ICML.

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability

Oluwasanmi Koyejo, Kaizhao Liang, Jacky Y. Zhang, 2020, ICML.

Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation pdf

Oluwasanmi Koyejo, Alexander G. Schwing, Peiye Zhuang, 2021, ICLR.

Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective

Anastasios Kyrillidis, Oluwasanmi Koyejo, Rajiv Khanna, 2021, AISTATS.

Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation

Oluwasanmi Koyejo, Leihao Chen, Jacky Y. Zhang, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Learning To Recover Sharp Detail From Simulated Low-Dose Ct Studies

Oluwasanmi Koyejo, Patrick Cole, Ayis Pyrros, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Secure Byzantine-Robust Distributed Learning via Clustering pdf

Oluwasanmi Koyejo, Raj Kiriti Velicheti, Derek Xia, 2021, ArXiv.

The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence pdf

Oluwasanmi Koyejo, Brando Miranda, Yu-Xiong Wang, 2021, ArXiv.

Joint Gaussian Graphical Model Estimation: A Survey pdf

Oluwasanmi Koyejo, Mladen Kolar, Katherine Tsai, 2021, WIREs Computational Statistics.

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task

Oluwasanmi Koyejo, Joseph T. Lizier, James M. Shine, 2021, Brain Informatics.

CSER: Communication-efficient SGD with Error Reset pdf

Indranil Gupta, Oluwasanmi Koyejo, Shuai Zheng, 2020, NeurIPS.

The Dynamics of Function al Brain Networks : Integrated Network States during Cognitive Task Performance Highlights

Oluwasanmi Koyejo, Russell A. Poldrack, Krzysztof J. Gorgolewski, 2016 .