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Author Information
Cong Xie (University of Illinois Urbana-Champaign)
Shuai Zheng (Amazon Web Services)
Sanmi Koyejo (Illinois / Google)
Sanmi (Oluwasanmi) Koyejo an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo's research interests are in the development and analysis of probabilistic and statistical machine learning techniques motivated by, and applied to various modern big data problems. He is particularly interested in the analysis of large scale neuroimaging data. Koyejo completed his Ph.D in Electrical Engineering at the University of Texas at Austin advised by Joydeep Ghosh, and completed postdoctoral research at Stanford University with a focus on developing Machine learning techniques for neuroimaging data. His postdoctoral research was primarily with Russell A. Poldrack and Pradeep Ravikumar. Koyejo has been the recipient of several awards including the outstanding NCE/ECE student award, a best student paper award from the conference on uncertainty in artificial intelligence (UAI) and a trainee award from the Organization for Human Brain Mapping (OHBM).
Indranil Gupta (UIUC)
Mu Li (Amazon)
Haibin Lin (Amazon Web Services)
More from the Same Authors
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2021 : Benchmarking Multimodal AutoML for Tabular Data with Text Fields »
Xingjian Shi · Jonas Mueller · Nick Erickson · Mu Li · Alexander Smola -
2021 : Probabilistic Performance Metric Elicitation »
Zachary Robertson · Hantao Zhang · Sanmi Koyejo -
2021 : Robust and Personalized Federated Learning with Spurious Features: an Adversarial Approach »
Xiaoyang Wang · Han Zhao · Klara Nahrstedt · Sanmi Koyejo -
2021 : RVFR: Robust Vertical Federated Learning via Feature Subspace Recovery »
Jing Liu · Chulin Xie · Krishnaram Kenthapadi · Sanmi Koyejo · Bo Li -
2021 : Secure Byzantine-Robust Distributed Learning via Clustering »
Raj Kiriti Velicheti · Sanmi Koyejo -
2021 : Exploiting Causal Chains for Domain Generalization »
Olawale Salaudeen · Sanmi Koyejo -
2021 : Distribution Preserving Bayesian Coresets using Set Constraints »
Shovik Guha · Rajiv Khanna · Sanmi Koyejo -
2021 Poster: Blending Anti-Aliasing into Vision Transformer »
Shengju Qian · Hao Shao · Yi Zhu · Mu Li · Jiaya Jia -
2021 Poster: Progressive Coordinate Transforms for Monocular 3D Object Detection »
Li Wang · Li Zhang · Yi Zhu · Zhi Zhang · Tong He · Mu Li · Xiangyang Xue -
2020 : Poster Session 3 (gather.town) »
Denny Wu · Chengrun Yang · Tolga Ergen · sanae lotfi · Charles Guille-Escuret · Boris Ginsburg · Hanbake Lyu · Cong Xie · David Newton · Debraj Basu · Yewen Wang · James Lucas · MAOJIA LI · Lijun Ding · Jose Javier Gonzalez Ortiz · Reyhane Askari Hemmat · Zhiqi Bu · Neal Lawton · Kiran Thekumparampil · Jiaming Liang · Lindon Roberts · Jingyi Zhu · Dongruo Zhou -
2020 : Poster Session 2 (gather.town) »
Sharan Vaswani · Nicolas Loizou · Wenjie Li · Preetum Nakkiran · Zhan Gao · Sina Baghal · Jingfeng Wu · Roozbeh Yousefzadeh · Jinyi Wang · Jing Wang · Cong Xie · Anastasia Borovykh · Stanislaw Jastrzebski · Soham Dan · Yiliang Zhang · Mark Tuddenham · Sarath Pattathil · Ievgen Redko · Jeremy Cohen · Yasaman Esfandiari · Zhanhong Jiang · Mostafa ElAraby · Chulhee Yun · Michael Psenka · Robert Gower · Xiaoyu Wang -
2020 Poster: Fairness with Overlapping Groups; a Probabilistic Perspective »
Forest Yang · Mouhamadou M Cisse · Sanmi Koyejo -
2020 Poster: Fair Performance Metric Elicitation »
Gaurush Hiranandani · Harikrishna Narasimhan · Sanmi Koyejo -
2019 Poster: Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback »
Shuai Zheng · Ziyue Huang · James Kwok -
2019 Poster: Learning Sparse Distributions using Iterative Hard Thresholding »
Jacky Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo -
2019 Poster: Multiclass Performance Metric Elicitation »
Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Sanmi Koyejo -
2019 Tutorial: Representation Learning and Fairness »
Moustapha Cisse · Sanmi Koyejo -
2016 Oral: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2016 Poster: Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain »
Timothy Rubin · Sanmi Koyejo · Michael Jones · Tal Yarkoni -
2016 Poster: Preference Completion from Partial Rankings »
Suriya Gunasekar · Sanmi Koyejo · Joydeep Ghosh -
2016 Poster: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2015 Poster: Consistent Multilabel Classification »
Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Poster: On Prior Distributions and Approximate Inference for Structured Variables »
Sanmi Koyejo · Rajiv Khanna · Joydeep Ghosh · Russell Poldrack -
2014 Poster: Consistent Binary Classification with Generalized Performance Metrics »
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Spotlight: Consistent Binary Classification with Generalized Performance Metrics »
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Poster: Sparse Bayesian structure learning with dependent relevance determination prior »
Anqi Wu · Mijung Park · Sanmi Koyejo · Jonathan W Pillow