Greed is still good: maximizing monotone submodular+ supermodular (BP) functions W Bai, J Bilmes International Conference on Machine Learning, 304-313, 2018 | 67 | 2018 |
Deep submodular functions J Bilmes, W Bai arXiv preprint arXiv:1701.08939, 2017 | 46 | 2017 |
Algorithms for optimizing the ratio of submodular functions W Bai, R Iyer, K Wei, J Bilmes International Conference on Machine Learning, 2751-2759, 2016 | 44 | 2016 |
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 | 44 | 2015 |
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 | 12 | 2016 |
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 | 10 | 2019 |
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 | 8 | 2015 |
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 | 7 | 2014 |
Greed is still good: maximizing monotone submodular+ supermodular functions (2018) W Bai, JA Bilmes Preprint. arXiv, 1801 | 6 | 1801 |
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 | 4 | 2018 |
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 | 2 | 2018 |
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 | 1 | 2015 |
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 | | |