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Author Information
Sinong Geng (Princeton University)
Minhao Yan (Cornell University)
Mladen Kolar (University of Chicago Booth School of Business)
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).
Related Events (a corresponding poster, oral, or spotlight)
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2019 Oral: Partially Linear Additive Gaussian Graphical Models »
Thu. Jun 13th 07:05 -- 07:10 PM Room Room 101
More from the Same Authors
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2022 Spotlight: Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning »
Boxiang Lyu · Zhaoran Wang · Mladen Kolar · Zhuoran Yang -
2022 Spotlight: Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization »
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li -
2022 : Adapting to Shifts in Latent Confounders via Observed Concepts and Proxies »
Matt Kusner · Ibrahim Alabdulmohsin · Stephen Pfohl · Olawale Salaudeen · Arthur Gretton · Sanmi Koyejo · Jessica Schrouff · Alexander D'Amour -
2022 Workshop: New Frontiers in Adversarial Machine Learning »
Sijia Liu · Pin-Yu Chen · Dongxiao Zhu · Eric Wong · Kathrin Grosse · Hima Lakkaraju · Sanmi Koyejo -
2022 Poster: Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization »
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li -
2022 Poster: Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning »
Boxiang Lyu · Zhaoran Wang · Mladen Kolar · Zhuoran Yang -
2021 Poster: Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability »
Kaizhao Liang · Yibo Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li -
2021 Spotlight: Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability »
Kaizhao Liang · Yibo Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li -
2021 Poster: Optimizing Black-box Metrics with Iterative Example Weighting »
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo -
2021 Spotlight: Optimizing Black-box Metrics with Iterative Example Weighting »
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo -
2021 Poster: Robust Inference for High-Dimensional Linear Models via Residual Randomization »
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar -
2021 Spotlight: Robust Inference for High-Dimensional Linear Models via Residual Randomization »
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar -
2020 Poster: On the consistency of top-k surrogate losses »
Forest Yang · Sanmi Koyejo -
2020 Poster: Identifying the Reward Function by Anchor Actions »
Sinong Geng · Houssam Nassif · Charlie Manzanares · Max Reppen · Ronnie Sircar -
2020 Poster: Optimization and Analysis of the pAp@k Metric for Recommender Systems »
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain -
2020 Poster: Zeno++: Robust Fully Asynchronous SGD »
Cong Xie · Sanmi Koyejo · Indranil Gupta -
2020 Poster: Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees »
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar -
2019 Poster: Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance »
Cong Xie · Sanmi Koyejo · Indranil Gupta -
2019 Oral: Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance »
Cong Xie · Sanmi Koyejo · Indranil Gupta -
2018 Poster: Binary Classification with Karmic, Threshold-Quasi-Concave Metrics »
Bowei Yan · Sanmi Koyejo · Kai Zhong · Pradeep Ravikumar -
2018 Oral: Binary Classification with Karmic, Threshold-Quasi-Concave Metrics »
Bowei Yan · Sanmi Koyejo · Kai Zhong · Pradeep Ravikumar -
2017 Poster: Consistency Analysis for Binary Classification Revisited »
Krzysztof Dembczynski · Wojciech Kotlowski · Sanmi Koyejo · Nagarajan Natarajan -
2017 Talk: Consistency Analysis for Binary Classification Revisited »
Krzysztof Dembczynski · Wojciech Kotlowski · Sanmi Koyejo · Nagarajan Natarajan