Oluwasanmi Koyejo

116 papers A* 12A 16Journal 66Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization. CoRR Willy Chan, Michael Souliman, Jakob Nordhagen, Brando Miranda, Elyas Obbad, Oluwasanmi Koyejo
2023	J	`jnl`	Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
2023	J	`jnl`	Federated Domain Adaptation via Gradient Projection. CoRR Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo
2023	J	`jnl`	Goodness-of-Fit of Attributed Probabilistic Graph Generative Models. CoRR Pablo Robles-Granda, Katherine Tsai, Oluwasanmi Koyejo
2023	J	`jnl`	Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks. CoRR Zachary Robertson, Oluwasanmi Koyejo
2023	J	`jnl`	No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions. CoRR Zachary Robertson, Oluwasanmi Koyejo
2022	J	`jnl`	A Nonconvex Framework for Structured Dynamic Covariance Recovery. J. Mach. Learn. Res. Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
2022	J	`jnl`	A Reduction to Binary Approach for Debiasing Multiclass Datasets. CoRR Ibrahim Alabdulmohsin, Jessica Schrouff, Oluwasanmi Koyejo
2022	—	`conf`	A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo
2022	J	`jnl`	Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. CoRR Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li
2022	J	`jnl`	Batch Active Learning from the Perspective of Sparse Approximation. CoRR Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo
2022	J	`jnl`	Controllable Radiance Fields for Dynamic Face Synthesis. CoRR Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo, Alexander G. Schwing
2022	—	`conf`	Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision. CLeaR Xiaoyang Wang, Klara Nahrstedt, Oluwasanmi Koyejo
2022	J	`jnl`	Latent Multimodal Functional Graphical Model Estimation. CoRR Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar
2022	J	`jnl`	Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
2022	J	`jnl`	Metric Elicitation; Moving from Theory to Practice. CoRR Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo
2022	A	`conf`	Quadratic metric elicitation for fairness and beyond. UAI Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2022	J	`jnl`	Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging. CoRR Peiye Zhuang, Bliss Chapman, Ran Li, Oluwasanmi Koyejo
2022	J	`jnl`	Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations. CoRR Olawale Salaudeen, Oluwasanmi Koyejo
2022	J	`jnl`	Toward a Controllable Disentanglement Network. IEEE Trans. Cybern. Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
2022	J	`jnl`	ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security. Algorithms Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2021	A*	`conf`	Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. ICLR Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
2021	J	`jnl`	Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. CoRR Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
2021	J	`jnl`	Joint Gaussian Graphical Model Estimation: A Survey. CoRR Katherine Tsai, Oluwasanmi Koyejo, Mladen Kolar
2021	—	`conf`	Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo
2021	—	`conf`	Learning To Recover Sharp Detail From Simulated Low-Dose Ct Studies. ISBI Patrick Cole, Ayis Pyrros, Oluwasanmi Koyejo
2021	J	`jnl`	Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. Brain Informatics James M. Shine, Mike Li, Oluwasanmi Koyejo, Ben D. Fulcher, Joseph T. Lizier
2021	J	`jnl`	Optimizing Black-box Metrics with Iterative Example Weighting. CoRR Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan
2021	J	`jnl`	Secure Byzantine-Robust Distributed Learning via Clustering. CoRR Raj Kiriti Velicheti, Derek Xia, Oluwasanmi Koyejo
2020	J	`jnl`	A Nonconvex Framework for Structured Dynamic Covariance Recovery. CoRR Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
2020	J	`jnl`	Bayesian Coresets: An Optimization Perspective. CoRR Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2020	A*	`conf`	CSER: Communication-efficient SGD with Error Reset. NeurIPS Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin
2020	J	`jnl`	CSER: Communication-efficient SGD with Error Reset. CoRR Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin
2020	J	`jnl`	Detecting evolutionary patterns of cancers using consensus trees. Bioinform. Sarah A. Christensen, Juho Kim, Nicholas Chia, Oluwasanmi Koyejo, Mohammed El-Kebir
2020	J	`jnl`	Does Adversarial Transferability Indicate Knowledge Transferability? CoRR Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li
2020	A*	`conf`	Fair Performance Metric Elicitation. NeurIPS Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	J	`jnl`	Fair Performance Metric Elicitation. CoRR Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	A*	`conf`	Fairness with Overlapping Groups; a Probabilistic Perspective. NeurIPS Forest Yang, Mouhamadou Cisse, Oluwasanmi Koyejo
2020	J	`jnl`	Quadratic Metric Elicitation with Application to Fairness. CoRR Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	J	`jnl`	Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information. CoRR Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain
2020	J	`jnl`	Towards A Controllable Disentanglement Network. CoRR Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
2020	A*	`conf`	Towards a Deep Network Architecture for Structured Smoothness. ICLR Haroun Habeeb, Oluwasanmi Koyejo
2019	A	`conf`	Clustered Monotone Transforms for Rating Factorization. WSDM Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2019	J	`jnl`	Consistent Classification with Generalized Metrics. CoRR Xiaoyan Wang, Ran Li, Bowei Yan, Oluwasanmi Koyejo
2019	J	`jnl`	Dependent relevance determination for smooth and structured sparse regression. J. Mach. Learn. Res. Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow
2019	—	`conf`	FMRI Data Augmentation Via Synthesis. ISBI Peiye Zhuang, Alexander G. Schwing, Oluwasanmi Koyejo
2019	A	`conf`	Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation. UAI Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2019	A	`conf`	Joint Nonparametric Precision Matrix Estimation with Confounding. UAI Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
2019	J	`jnl`	Learning Controllable Disentangled Representations with Decorrelation Regularization. CoRR Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
2019	A*	`conf`	Learning Sparse Distributions using Iterative Hard Thresholding. NeurIPS Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2019	J	`jnl`	Learning Sparse Distributions using Iterative Hard Thresholding. CoRR Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2019	J	`jnl`	Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. CoRR Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin
2019	A*	`conf`	Multiclass Performance Metric Elicitation. NeurIPS Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2019	J	`jnl`	Partially Linear Additive Gaussian Graphical Models. CoRR Sinong Geng, Minhao Yan, Mladen Kolar, Oluwasanmi Koyejo
2019	A	`conf`	Performance Metric Elicitation from Pairwise Classifier Comparisons. AISTATS Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2019	—	`conf`	SLSGD: Secure and Efficient Distributed On-device Machine Learning. ECML/PKDD (2) Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2019	J	`jnl`	Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
2018	A	`conf`	Bayesian Structure Learning for Dynamic Brain Connectivity. AISTATS Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo
2018	A*	`conf`	Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. ICML Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
2018	J	`jnl`	Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. CoRR Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
2018	A	`conf`	Clustered Fused Graphical Lasso. UAI Yizhi Zhu, Oluwasanmi Koyejo
2018	J	`jnl`	Clustered Monotone Transforms for Rating Factorization. CoRR Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2018	J	`jnl`	Eliciting Binary Performance Metrics. CoRR Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2018	J	`jnl`	Generalized Byzantine-tolerant SGD. CoRR Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2018	J	`jnl`	Interpreting Black Box Predictions using Fisher Kernels. CoRR Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo
2018	J	`jnl`	Joint Nonparametric Precision Matrix Estimation with Confounding. CoRR Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
2018	J	`jnl`	Learning the Base Distribution in Implicit Generative Models. CoRR Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis
2018	J	`jnl`	Phocas: dimensional Byzantine-resilient stochastic gradient descent. CoRR Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2018	J	`jnl`	Zeno: Byzantine-suspicious stochastic gradient descent. CoRR Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
2018	J	`jnl`	xGEMs: Generating Examplars to Explain Black-Box Models. CoRR Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh
2017	A	`conf`	A Deflation Method for Structured Probabilistic PCA. SDM Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2017	A*	`conf`	Consistency Analysis for Binary Classification Revisited. ICML Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017	J	`jnl`	Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. PLoS Comput. Biol. Timothy N. Rubin, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, Michael N. Jones, Russell A. Poldrack, Tal Yarkoni
2017	A	`conf`	Frequency Domain Predictive Modelling with Aggregated Data. AISTATS Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2017	A	`conf`	Information Projection and Approximate Inference for Structured Sparse Variables. AISTATS Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2017	J	`jnl`	What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level. NeuroImage Ro'ee Gilron, Jonathan D. Rosenblatt, Oluwasanmi Koyejo, Russell A. Poldrack, Roy Mukamel
2016	A*	`conf`	A Simple and Provable Algorithm for Sparse Diagonal CCA. ICML Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
2016	J	`jnl`	A simple and provable algorithm for sparse diagonal CCA. CoRR Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
2016	—	`conf`	Examples are not enough, learn to criticize! Criticism for Interpretability. NIPS Been Kim, Oluwasanmi Koyejo, Rajiv Khanna
2016	—	`conf`	Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. NIPS Timothy N. Rubin, Oluwasanmi Koyejo, Michael N. Jones, Tal Yarkoni
2016	J	`jnl`	Generalized Linear Models for Aggregated Data. CoRR Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2016	J	`jnl`	Information Projection and Approximate Inference for Structured Sparse Variables. CoRR Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2016	A*	`conf`	Optimal Classification with Multivariate Losses. ICML Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
2016	—	`conf`	Preference Completion from Partial Rankings. NIPS Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2016	J	`jnl`	Preference Completion from Partial Rankings. CoRR Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2016	J	`jnl`	Rényi divergence minimization based co-regularized multiview clustering. Mach. Learn. Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo
2016	A*	`conf`	Sparse Parameter Recovery from Aggregated Data. ICML Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2015	—	`conf`	Consistent Multilabel Classification. NIPS Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
2015	J	`jnl`	Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives. NeuroImage James M. Shine, Oluwasanmi Koyejo, Peter T. Bell, Krzysztof J. Gorgolewski, Moran Gilat, Russell A. Poldrack
2015	A	`conf`	Generalized Linear Models for Aggregated Data. AISTATS Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2015	J	`jnl`	Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics. CoRR Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
2015	—	`conf`	Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes. ICHI Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, Joydeep Ghosh
2015	—	`conf`	Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data. ICHI Shalmali Joshi, Oluwasanmi Koyejo, Joydeep Ghosh
2015	A	`conf`	Sparse Submodular Probabilistic PCA. AISTATS Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2014	J	`jnl`	A Constrained Matrix-Variate Gaussian Process for Transposable Data. CoRR Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2014	J	`jnl`	A constrained matrix-variate Gaussian process for transposable data. Mach. Learn. Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2014	—	`conf`	Consistent Binary Classification with Generalized Performance Metrics. NIPS Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
2014	—	`conf`	On Prior Distributions and Approximate Inference for Structured Variables. NIPS Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack
2014	—	`conf`	Sparse Bayesian structure learning with dependent relevance determination priors. NIPS Anqi Wu, Mijung Park, Oluwasanmi Koyejo, Jonathan W. Pillow
2013	A	`conf`	Bayesian Structure Learning for Functional Neuroimaging. AISTATS Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow
2013	A	`conf`	Constrained Bayesian Inference for Low Rank Multitask Learning. UAI Oluwasanmi Koyejo, Joydeep Ghosh
2013	J	`jnl`	Constrained Bayesian Inference for Low Rank Multitask Learning. CoRR Oluwasanmi Koyejo, Joydeep Ghosh
2013	—	`conf`	Constrained Gaussian Process Regression for Gene-Disease Association. ICDM Workshops Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2013	—	`conf`	Identifying candidate disease genes using a trace norm constrained bipartite raking model. EMBC Cheng H. Lee, Oluwasanmi Koyejo, Joydeep Ghosh
2013	—	`conf`	Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models. PRNI Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, Russell A. Poldrack
2013	A	`conf`	Retargeted matrix factorization for collaborative filtering. RecSys Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh
2013	J	`jnl`	The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking CoRR Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2013	J	`jnl`	Toward open sharing of task-based fMRI data: the OpenfMRI project. Frontiers Neuroinformatics Russell A. Poldrack, Deanna M. Barch, Jason P. Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
2012	J	`jnl`	Learning to Rank With Bregman Divergences and Monotone Retargeting CoRR Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
2012	A	`conf`	Learning to Rank With Bregman Divergences and Monotone Retargeting. UAI Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
2011	—	`conf`	A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems. HetRec@RecSys Oluwasanmi Koyejo, Joydeep Ghosh
2011	J	`jnl`	Reports of the AAAI 2010 Fall Symposia. AI Mag. Roger Azevedo, Gautam Biswas, Dan Bohus, Ted Carmichael, Mark A. Finlayson, Mirsad Hadzikadic, Catherine Havasi, Eric Horvitz, Takayuki Kanda, Oluwasanmi Koyejo, William F. Lawless, Douglas B. Lenat, Felipe Meneguzzi, Bilge Mutlu, Jean Oh, Roberto Pirrone, Antoine Raux, Donald A. Sofge, Gita Sukthankar, Benjamin Van Durme
2010	—	`conf`	Organizing Committee. AAAI Fall Symposium: Manifold Learning and Its Applications Oluwasanmi Koyejo, Richard Souvenir
2010	—	`conf`	Preface: Manifold Learning and Its Applications. AAAI Fall Symposium: Manifold Learning and Its Applications Oluwasanmi Koyejo, Richard Souvenir
2010	J	`jnl`	Reports of the AAAI 2009 Fall Symposia. AI Mag. Roger Azevedo, Trevor J. M. Bench-Capon, Gautam Biswas, Ted Carmichael, Nancy L. Green, Mirsad Hadzikadic, Oluwasanmi Koyejo, Unmesh Kurup, Simon Parsons, Roberto Pirrone, Henry Prakken, Alexei V. Samsonovich, Donia Scott, Richard Souvenir
2009	—	`conf`	MiPPS: A Generative Model for Multi-Manifold Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications Oluwasanmi Koyejo, Joydeep Ghosh