Oluwasanmi Koyejo

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 85

Top Venues

Publications

Zachary Robertson, Oluwasanmi Koyejo
Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks. CoRR (2023)
Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR (2023)
Zachary Robertson, Oluwasanmi Koyejo
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions. CoRR (2023)
Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo
Federated Domain Adaptation via Gradient Projection. CoRR (2023)
Pablo Robles-Granda, Katherine Tsai, Oluwasanmi Koyejo
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models. CoRR (2023)
Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar
Latent Multimodal Functional Graphical Model Estimation. CoRR (2022)
Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo
Batch Active Learning from the Perspective of Sparse Approximation. CoRR (2022)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security. Algorithms 15 (7) (2022)
Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
Quadratic metric elicitation for fairness and beyond. UAI (2022)
Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. CoRR (2022)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Toward a Controllable Disentanglement Network. IEEE Trans. Cybern. 52 (4) (2022)
Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR (2022)
Ibrahim Alabdulmohsin, Jessica Schrouff, Oluwasanmi Koyejo
A Reduction to Binary Approach for Debiasing Multiclass Datasets. CoRR (2022)
Peiye Zhuang, Bliss Chapman, Ran Li, Oluwasanmi Koyejo
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging. CoRR (2022)
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT (2022)
Olawale Salaudeen, Oluwasanmi Koyejo
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations. CoRR (2022)
Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo
Metric Elicitation; Moving from Theory to Practice. CoRR (2022)
Xiaoyang Wang, Klara Nahrstedt, Oluwasanmi Koyejo
Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision. CLeaR (2022)
Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo, Alexander G. Schwing
Controllable Radiance Fields for Dynamic Face Synthesis. CoRR (2022)
Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
A Nonconvex Framework for Structured Dynamic Covariance Recovery. J. Mach. Learn. Res. 23 (2022)
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. CoRR (2021)
Patrick Cole, Ayis Pyrros, Oluwasanmi Koyejo
Learning To Recover Sharp Detail From Simulated Low-Dose Ct Studies. ISBI (2021)
Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan
Optimizing Black-box Metrics with Iterative Example Weighting. CoRR (2021)
Raj Kiriti Velicheti, Derek Xia, Oluwasanmi Koyejo
Secure Byzantine-Robust Distributed Learning via Clustering. CoRR (2021)
James M. Shine, Mike Li, Oluwasanmi Koyejo, Ben D. Fulcher, Joseph T. Lizier
Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. Brain Informatics 8 (1) (2021)
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. ICLR (2021)
Katherine Tsai, Oluwasanmi Koyejo, Mladen Kolar
Joint Gaussian Graphical Model Estimation: A Survey. CoRR (2021)
Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI (2021)
Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
Fair Performance Metric Elicitation. CoRR (2020)
Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
Quadratic Metric Elicitation with Application to Fairness. CoRR (2020)
Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information. CoRR (2020)
Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li
Does Adversarial Transferability Indicate Knowledge Transferability? CoRR (2020)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Towards A Controllable Disentanglement Network. CoRR (2020)
Forest Yang, Mouhamadou Cisse, Oluwasanmi Koyejo
Fairness with Overlapping Groups; a Probabilistic Perspective. NeurIPS (2020)
Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
A Nonconvex Framework for Structured Dynamic Covariance Recovery. CoRR (2020)
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
Bayesian Coresets: An Optimization Perspective. CoRR (2020)
Haroun Habeeb, Oluwasanmi Koyejo
Towards a Deep Network Architecture for Structured Smoothness. ICLR (2020)
Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
Fair Performance Metric Elicitation. NeurIPS (2020)
Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin
CSER: Communication-efficient SGD with Error Reset. CoRR (2020)
Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin
CSER: Communication-efficient SGD with Error Reset. NeurIPS (2020)
Sinong Geng, Minhao Yan, Mladen Kolar, Oluwasanmi Koyejo
Partially Linear Additive Gaussian Graphical Models. CoRR (2019)
Xiaoyan Wang, Ran Li, Bowei Yan, Oluwasanmi Koyejo
Consistent Classification with Generalized Metrics. CoRR (2019)
Peiye Zhuang, Alexander G. Schwing, Oluwasanmi Koyejo
FMRI Data Augmentation Via Synthesis. ISBI (2019)
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
Multiclass Performance Metric Elicitation. NeurIPS (2019)
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
Learning Sparse Distributions using Iterative Hard Thresholding. NeurIPS (2019)
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
Performance Metric Elicitation from Pairwise Classifier Comparisons. AISTATS (2019)
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
Learning Controllable Disentangled Representations with Decorrelation Regularization. CoRR (2019)
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Joint Nonparametric Precision Matrix Estimation with Confounding. UAI (2019)
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR (2019)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. CoRR (2019)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
SLSGD: Secure and Efficient Distributed On-device Machine Learning. ECML/PKDD (2) (2019)
Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow
Dependent relevance determination for smooth and structured sparse regression. J. Mach. Learn. Res. 20 (2019)
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
Clustered Monotone Transforms for Rating Factorization. WSDM (2019)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation. UAI (2019)
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
Learning Sparse Distributions using Iterative Hard Thresholding. CoRR (2019)
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. ICML (2018)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Generalized Byzantine-tolerant SGD. CoRR (2018)
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Joint Nonparametric Precision Matrix Estimation with Confounding. CoRR (2018)
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. CoRR (2018)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Zeno: Byzantine-suspicious stochastic gradient descent. CoRR (2018)
Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh
xGEMs: Generating Examplars to Explain Black-Box Models. CoRR (2018)
Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis
Learning the Base Distribution in Implicit Generative Models. CoRR (2018)
Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo
Bayesian Structure Learning for Dynamic Brain Connectivity. AISTATS (2018)
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
Eliciting Binary Performance Metrics. CoRR (2018)
Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo
Interpreting Black Box Predictions using Fisher Kernels. CoRR (2018)
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Phocas: dimensional Byzantine-resilient stochastic gradient descent. CoRR (2018)
Yizhi Zhu, Oluwasanmi Koyejo
Clustered Fused Graphical Lasso. UAI (2018)
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
Clustered Monotone Transforms for Rating Factorization. CoRR (2018)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Frequency Domain Predictive Modelling with Aggregated Data. AISTATS (2017)
Ro'ee Gilron, Jonathan D. Rosenblatt, Oluwasanmi Koyejo, Russell A. Poldrack, Roy Mukamel
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level. NeuroImage 146 (2017)
Timothy N. Rubin, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, Michael N. Jones, Russell A. Poldrack, Tal Yarkoni
Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. PLoS Comput. Biol. 13 (10) (2017)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
Information Projection and Approximate Inference for Structured Sparse Variables. AISTATS (2017)
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
Consistency Analysis for Binary Classification Revisited. ICML (2017)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
A Deflation Method for Structured Probabilistic PCA. SDM (2017)
Timothy N. Rubin, Oluwasanmi Koyejo, Michael N. Jones, Tal Yarkoni
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. NIPS (2016)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
Information Projection and Approximate Inference for Structured Sparse Variables. CoRR (2016)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Sparse Parameter Recovery from Aggregated Data. ICML (2016)
Been Kim, Oluwasanmi Koyejo, Rajiv Khanna
Examples are not enough, learn to criticize! Criticism for Interpretability. NIPS (2016)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Generalized Linear Models for Aggregated Data. CoRR (2016)
Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
A simple and provable algorithm for sparse diagonal CCA. CoRR (2016)
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
Preference Completion from Partial Rankings. CoRR (2016)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
Optimal Classification with Multivariate Losses. ICML (2016)
Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
A Simple and Provable Algorithm for Sparse Diagonal CCA. ICML (2016)
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
Preference Completion from Partial Rankings. NIPS (2016)
Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo
Rényi divergence minimization based co-regularized multiview clustering. Mach. Learn. 104 (2-3) (2016)
Shalmali Joshi, Oluwasanmi Koyejo, Joydeep Ghosh
Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data. ICHI (2015)
Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
Consistent Multilabel Classification. NIPS (2015)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Generalized Linear Models for Aggregated Data. AISTATS (2015)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
Sparse Submodular Probabilistic PCA. AISTATS (2015)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics. CoRR (2015)
James M. Shine, Oluwasanmi Koyejo, Peter T. Bell, Krzysztof J. Gorgolewski, Moran Gilat, Russell A. Poldrack
Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives. NeuroImage 122 (2015)
Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, Joydeep Ghosh
Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes. ICHI (2015)
Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
A Constrained Matrix-Variate Gaussian Process for Transposable Data. CoRR (2014)
Anqi Wu, Mijung Park, Oluwasanmi Koyejo, Jonathan W. Pillow
Sparse Bayesian structure learning with dependent relevance determination priors. NIPS (2014)
Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack
On Prior Distributions and Approximate Inference for Structured Variables. NIPS (2014)
Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
Consistent Binary Classification with Generalized Performance Metrics. NIPS (2014)
Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
A constrained matrix-variate Gaussian process for transposable data. Mach. Learn. 97 (1-2) (2014)
Oluwasanmi Koyejo, Joydeep Ghosh
Constrained Bayesian Inference for Low Rank Multitask Learning. CoRR (2013)
Cheng H. Lee, Oluwasanmi Koyejo, Joydeep Ghosh
Identifying candidate disease genes using a trace norm constrained bipartite raking model. EMBC (2013)
Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
Constrained Gaussian Process Regression for Gene-Disease Association. ICDM Workshops (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Oluwasanmi Koyejo