Sanmi Koyejo
Sanmi Koyejo
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
10042019
Examples are not enough, learn to criticize! criticism for interpretability
B Kim, R Khanna, OO Koyejo
Advances in Neural Information Processing Systems, 2280-2288, 2016
4542016
The dynamics of functional brain networks: integrated network states during cognitive task performance
JM Shine, PG Bissett, PT Bell, O Koyejo, JH Balsters, KJ Gorgolewski, ...
Neuron 92 (2), 544-554, 2016
4442016
Toward open sharing of task-based fMRI data: the OpenfMRI project
RA Poldrack, DM Barch, J Mitchell, T Wager, AD Wagner, JT Devlin, ...
Frontiers in neuroinformatics 7, 12, 2013
3032013
Consistent Binary Classification with Generalized Performance Metrics.
O Koyejo, N Natarajan, P Ravikumar, IS Dhillon
NIPS 27, 2744-2752, 2014
1362014
Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives
JM Shine, O Koyejo, PT Bell, KJ Gorgolewski, M Gilat, RA Poldrack
NeuroImage 122, 399-407, 2015
1182015
Asynchronous federated optimization
C Xie, S Koyejo, I Gupta
arXiv preprint arXiv:1903.03934, 2019
1072019
Generalized byzantine-tolerant sgd
C Xie, O Koyejo, I Gupta
arXiv preprint arXiv:1802.10116, 2018
972018
Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance
C Xie, S Koyejo, I Gupta
International Conference on Machine Learning, 6893-6901, 2019
642019
Max-sliced wasserstein distance and its use for gans
I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
622019
Interpreting black box predictions using fisher kernels
R Khanna, B Kim, J Ghosh, S Koyejo
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
512019
Fall of empires: Breaking Byzantine-tolerant SGD by inner product manipulation
C Xie, O Koyejo, I Gupta
Uncertainty in Artificial Intelligence, 261-270, 2020
502020
Towards realistic individual recourse and actionable explanations in black-box decision making systems
S Joshi, O Koyejo, W Vijitbenjaronk, B Kim, J Ghosh
arXiv preprint arXiv:1907.09615, 2019
452019
False discovery rate smoothing
W Tansey, O Koyejo, RA Poldrack, JG Scott
Journal of the American Statistical Association 113 (523), 1156-1171, 2018
37*2018
Zeno: Byzantine-suspicious stochastic gradient descent
C Xie, O Koyejo, I Gupta
arXiv preprint arXiv:1805.10032 24, 2018
342018
Phocas: dimensional byzantine-resilient stochastic gradient descent
C Xie, O Koyejo, I Gupta
arXiv preprint arXiv:1805.09682, 2018
302018
Retargeted matrix factorization for collaborative filtering
O Koyejo, S Acharyya, J Ghosh
Proceedings of the 7th ACM conference on Recommender systems, 49-56, 2013
282013
SLSGD: Secure and efficient distributed on-device machine learning
C Xie, S Koyejo, I Gupta
arXiv preprint arXiv:1903.06996, 2019
262019
Learning to rank with Bregman divergences and monotone retargeting
S Acharyya, O Koyejo, J Ghosh
arXiv preprint arXiv:1210.4851, 2012
262012
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level
R Gilron, J Rosenblatt, O Koyejo, RA Poldrack, R Mukamel
NeuroImage 146, 113-120, 2017
242017
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