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Wenruo Bai
Wenruo Bai
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Title
Cited by
Cited by
Year
Greed is still good: maximizing monotone submodular+ supermodular (BP) functions
W Bai, J Bilmes
International Conference on Machine Learning, 304-313, 2018
672018
Deep submodular functions
J Bilmes, W Bai
arXiv preprint arXiv:1701.08939, 2017
462017
Algorithms for optimizing the ratio of submodular functions
W Bai, R Iyer, K Wei, J Bilmes
International Conference on Machine Learning, 2751-2759, 2016
442016
Mixed robust/average submodular partitioning: Fast algorithms, guarantees, and applications
K Wei, RK Iyer, S Wang, W Bai, JA Bilmes
Advances in Neural Information Processing Systems 28, 2015
442015
Bipartite matching generalizations for peptide identification in tandem mass spectrometry
W Bai, J Bilmes, WS Noble
Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016
122016
Fixing mini-batch sequences with hierarchical robust partitioning
S Wang, W Bai, C Lavania, J Bilmes
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
102019
How to intelligently distribute training data to multiple compute nodes: Distributed machine learning via submodular partitioning
K Wei, R Iyer, S Wang, W Bai, J Bilmes
Neural Information Processing Society (NIPS) Workshop, Montreal, Canada, 2015
82015
Structure and topological characteristics of amorphous silicon oxycarbide networks: Results from reverse Monte Carlo simulations
W Bai, S Widgeon, S Sen
Journal of non-crystalline solids 386, 29-33, 2014
72014
Greed is still good: maximizing monotone submodular+ supermodular functions (2018)
W Bai, JA Bilmes
Preprint. arXiv, 1801
61801
Submodular generalized matching for peptide identification in tandem mass spectrometry
W Bai, J Bilmes, WS Noble
IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2018
42018
Submodular maximization via gradient ascent: the case of deep submodular functions
W Bai, W Stafford Noble, JA Bilmes
Advances in neural information processing systems 31, 2018
22018
Mixed robust/average submodular partitioning: Fast algorithms, guarantees, and applications to parallel machine learning and multi-label image segmentation
K Wei, R Iyer, S Wang, W Bai, J Bilmes
arXiv preprint arXiv:1510.08865, 2015
12015
Arithmetic Combinations of Submodular and Supermodular Optimization and Submodular Generalized Matching for Peptide Identification in Tandem Mass Spectrometry
W Bai
University of Washington, 2023
2023
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications: NIPS 2015 Extended Supplementary
K Wei, R Iyer, S Wang, W Bai, J Bilmes
arXiv preprint arXiv:1510.08865, 2015
2015
Deep Submodular Functions. Arxiv, abs/1701.08939, Jan 2017
J Bilmes, W Bai
Mixed Robust/Average Submodular Partitioning
K Wei, R Iyer, S Wang, W Bai, J Bilmes
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