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
Ken-ichi KawarabayashiVerified email at nii.ac.jp
Matthew StaibTwo Sigma InvestmentsVerified email at alum.mit.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
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
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
Rishabh IyerUniversity of Texas Dallas, Microsoft, UWVerified email at utdallas.edu
Pushmeet KohliDeepMindVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Joshua RobinsonMITVerified email at mit.edu
Ching-Yao ChuangMITVerified email at mit.edu
Yu XiangAssistant Professor, University of Texas at DallasVerified email at utdallas.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	1829	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	1106	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	624	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	264	2014
Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy CVPR, 2017	263	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	215	2011
Max-value entropy search for efficient Bayesian optimization Z Wang, S Jegelka Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	210	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	170	2014
Fast semidifferential-based submodular function optimization R Iyer, S Jegelka, J Bilmes International Conference on Machine Learning (ICML), 2013	126	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	117	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	101	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
What Can Neural Networks Reason About? K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka arXiv preprint arXiv:1905.13211, 2019	84	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	83	2018
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
Fast kernel-based independent component analysis H Shen, S Jegelka, A Gretton IEEE transactions on signal processing 57 (9), 3498-3511, 2009	80	2009
Optimization as Estimation with Gaussian Processes in Bandit Settings Z Wang, B Zhou, S Jegelka Artificial Intelligence and Statistics (AISTATS), 2016	79	2016
Virtual screening of inorganic materials synthesis parameters with deep learning E Kim, K Huang, S Jegelka, E Olivetti npj Computational Materials 3 (53), 2017	78	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 27, 2645-2653, 2014	74	2014
Approximation algorithms for tensor clustering S Jegelka, S Sra, A Banerjee International Conference on Algorithmic Learning Theory, 368-383, 2009	71*	2009

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