Stefanie Jegelka
Stefanie Jegelka
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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
How Powerful are Graph Neural Networks?
K Xu, W Hu, J Leskovec, S Jegelka
arXiv preprint arXiv:1810.00826, 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
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
Submodularity beyond submodular energies: coupling edges in graph cuts
S Jegelka, J Bilmes
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
Deep Metric Learning via Facility Location
HO Song, S Jegelka, V Rathod, K Murphy
CVPR, 2017
Weakly-supervised discovery of visual pattern configurations
HO Song, YJ Lee, S Jegelka, T Darrell
Advances in Neural Information Processing Systems, 1637-1645, 2014
Max-value entropy search for efficient Bayesian optimization
Z Wang, S Jegelka
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Fast semidifferential-based submodular function optimization
R Iyer, S Jegelka, J Bilmes
International Conference on Machine Learning (ICML), 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
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
Fast kernel-based independent component analysis
H Shen, S Jegelka, A Gretton
IEEE transactions on signal processing 57 (9), 3498-3511, 2009
Reflection methods for user-friendly submodular optimization
S Jegelka, F Bach, S Sra
Advances in Neural Information Processing Systems, 1313-1321, 2013
Optimization as Estimation with Gaussian Processes in Bandit Settings
Z Wang, B Zhou, S Jegelka
Artificial Intelligence and Statistics (AISTATS), 2016
On fast approximate submodular minimization
S Jegelka, H Lin, JA Bilmes
Advances in Neural Information Processing Systems, 460-468, 2011
Resnet with one-neuron hidden layers is a universal approximator
H Lin, S Jegelka
Advances in Neural Information Processing Systems, 6169-6178, 2018
Virtual screening of inorganic materials synthesis parameters with deep learning
E Kim, K Huang, S Jegelka, E Olivetti
npj Computational Materials 3 (53), 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
Approximation algorithms for tensor clustering
S Jegelka, S Sra, A Banerjee
International Conference on Algorithmic Learning Theory, 368-383, 2009
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
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