Stefanie Jegelka

Cited by

	All	Since 2015
Citations	4673	4280
h-index	32	31
i10-index	60	52

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Jeffrey A. BilmesProfessor of Electrical Engineering and Computer Science, University of Washington SeattleVerified email at uw.edu
Suvrit SraMITVerified email at mit.edu
Keyulu XuMITVerified email at mit.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 StaibPh.D. Student, Massachusetts Institute of TechnologyVerified email at mit.edu
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Zi WangGoogle BrainVerified email at google.com
Ken-ichi KawarabayashiVerified email at nii.ac.jp
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Rishabh IyerAssistant Professor, University of Texas DallasVerified email at utdallas.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Pushmeet KohliDeepMindVerified email at google.com
Yu XiangSenior Research Scientist, NVIDIAVerified email at nvidia.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Weihua HuPh.D. student, Stanford UniversityVerified email at stanford.edu
David Alvarez-MelisPostdoctoral Researcher, Microsoft ResearchVerified email at mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Hao Shenfortiss GmbH/TUMVerified email at tum.de
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.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
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	774	2016
How Powerful are Graph Neural Networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826, 2018	773	2018
Representation Learning on Graphs with Jumping Knowledge Networks K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka arXiv preprint arXiv:1806.03536, 2018	265	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	216	2014
Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy CVPR, 2017	204	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	196	2011
Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell Advances in Neural Information Processing Systems, 1637-1645, 2014	136	2014
Max-value entropy search for efficient Bayesian optimization Z Wang, S Jegelka Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	130	2017
Fast semidifferential-based submodular function optimization R Iyer, S Jegelka, J Bilmes International Conference on Machine Learning (ICML), 2013	111*	2013
Curvature and optimal algorithms for learning and minimizing submodular functions RK Iyer, S Jegelka, JA Bilmes Advances in Neural Information Processing Systems, 2742-2750, 2013	91	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	82	2013
Fast kernel-based independent component analysis H Shen, S Jegelka, A Gretton IEEE transactions on signal processing 57 (9), 3498-3511, 2009	72	2009
Reflection methods for user-friendly submodular optimization S Jegelka, F Bach, S Sra Advances in Neural Information Processing Systems, 1313-1321, 2013	71	2013
Resnet with one-neuron hidden layers is a universal approximator H Lin, S Jegelka Advances in Neural Information Processing Systems, 6169-6178, 2018	67	2018
Optimization as Estimation with Gaussian Processes in Bandit Settings Z Wang, B Zhou, S Jegelka Artificial Intelligence and Statistics (AISTATS), 2016	65	2016
On fast approximate submodular minimization S Jegelka, H Lin, JA Bilmes Advances in Neural Information Processing Systems, 460-468, 2011	62	2011
Virtual screening of inorganic materials synthesis parameters with deep learning E Kim, K Huang, S Jegelka, E Olivetti npj Computational Materials 3 (53), 2017	61	2017
Submodular meets structured: Finding diverse subsets in exponentially-large structured item sets A Prasad, S Jegelka, D Batra Advances in Neural Information Processing Systems, 2645-2653, 2014	56	2014
Parallel streaming wasserstein barycenters M Staib, S Claici, JM Solomon, S Jegelka Advances in Neural Information Processing Systems, 2647-2658, 2017	54	2017
Fast DPP sampling for Nyström with application to kernel methods C Li, S Jegelka, S Sra Proceedings of the 33rd International Conference on International Conference …, 2016	54	2016

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