Stefanie Jegelka

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Suvrit SraMITVerified email at mit.edu
Keyulu XuMITVerified email at mit.edu
Jeffrey A. BilmesProfessor of Electrical Engineering and Computer Science, University of Washington SeattleVerified email at uw.edu
Hyun Oh SongAssistant Professor of Computer Science, Seoul National UniversityVerified email at snu.ac.kr
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Matthew StaibTwo Sigma InvestmentsVerified email at alum.mit.edu
Ken-ichi KawarabayashiVerified email at nii.ac.jp
Zi WangGoogle BrainVerified email at google.com
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Rishabh IyerUniversity of Texas Dallas, Microsoft, UWVerified email at utdallas.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Weihua HuPh.D. student, Stanford UniversityVerified email at stanford.edu
Hongzhou LinMITVerified email at mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Pushmeet KohliDeepMindVerified email at google.com
Yu XiangSenior Research Scientist, NVIDIAVerified email at nvidia.com
Ching-Yao ChuangMITVerified email at mit.edu
Mozhi ZhangUniversity of MarylandVerified email at cs.umd.edu

Stefanie Jegelka

MIT

Verified email at mit.edu - Homepage

Machine Learning Optimization Submodularity


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
How powerful are graph neural networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826, 2018	1555	2018
Deep metric learning via lifted structured feature embedding H Oh Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	1021	2016
Representation learning on graphs with jumping knowledge networks K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka International Conference on Machine Learning, 5453-5462, 2018	515	2018
On learning to localize objects with minimal supervision HO Song, R Girshick, S Jegelka, J Mairal, Z Harchaoui, T Darrell International Conference on Machine Learning (ICML), 2014	253	2014
Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy CVPR, 2017	248	2017
Submodularity beyond submodular energies: coupling edges in graph cuts S Jegelka, J Bilmes Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	212	2011
Max-value entropy search for efficient Bayesian optimization Z Wang, S Jegelka Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	194	2017
Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell Advances in neural information processing systems 27, 1637-1645, 2014	167	2014
Fast semidifferential-based submodular function optimization R Iyer, S Jegelka, J Bilmes International Conference on Machine Learning (ICML), 2013	123	2013
Resnet with one-neuron hidden layers is a universal approximator H Lin, S Jegelka Advances in neural information processing systems 31, 6169-6178, 2018	103	2018
Curvature and optimal algorithms for learning and minimizing submodular functions RK Iyer, S Jegelka, JA Bilmes Advances in Neural Information Processing Systems 26, 2742-2750, 2013	100	2013
A principled deep random field model for image segmentation P Kohli, A Osokin, S Jegelka Proceedings of the IEEE conference on computer vision and pattern …, 2013	89	2013
Reflection methods for user-friendly submodular optimization S Jegelka, F Bach, S Sra Advances in Neural Information Processing Systems 26, 1313-1321, 2013	82	2013
Optimization as Estimation with Gaussian Processes in Bandit Settings Z Wang, B Zhou, S Jegelka Artificial Intelligence and Statistics (AISTATS), 2016	78	2016
Fast kernel-based independent component analysis H Shen, S Jegelka, A Gretton IEEE transactions on signal processing 57 (9), 3498-3511, 2009	77	2009
What Can Neural Networks Reason About? K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka arXiv preprint arXiv:1905.13211, 2019	72	2019
Batched large-scale bayesian optimization in high-dimensional spaces Z Wang, C Gehring, P Kohli, S Jegelka International Conference on Artificial Intelligence and Statistics, 745-754, 2018	72	2018
On fast approximate submodular minimization S Jegelka, H Lin, JA Bilmes Advances in Neural Information Processing Systems 24, 460-468, 2011	68	2011
Approximation algorithms for tensor clustering S Jegelka, S Sra, A Banerjee International Conference on Algorithmic Learning Theory, 368-383, 2009	68*	2009
Virtual screening of inorganic materials synthesis parameters with deep learning E Kim, K Huang, S Jegelka, E Olivetti npj Computational Materials 3 (53), 2017	67	2017

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