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Conference and Workshop Papers
- 2022
[c9]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Algorithms for Learning Convex Functions. ICML 2022: 20176-20194- 2020
- [c8]Kelly Geyer, Anastasios Kyrillidis, Amir Kalev:
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing. AISTATS 2020: 930-940 - [c7]Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp
, Genevera I. Allen:
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. IEEE BigData 2020: 2664-2673 - 2016
- [c6]Kara Greenfield, Rajmonda Sulo Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek:
A Reverse Approach to Named Entity Extraction and Linking in Microposts. #Microposts 2016: 67-69 - [c5]Kelly Geyer, Kara Greenfield, Alyssa C. Mensch, Olga Simek:
Named Entity Recognition in 140 Characters or Less. #Microposts 2016: 78-79 - 2015
- [c4]Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi:
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC 2015: 1520-1524 - [c3]Christian Anderson, Paul Breimyer, Stephanie Foster, Kelly Geyer, J. Daniel Griffith, Andrew Heier, Arjun Majumdar, Danelle C. Shah, Olga Simek, Nicholas Stanisha, Frederick R. Waugh:
A network science approach to open source data fusion and analytics for disaster response. FUSION 2015: 207-214 - [c2]Danelle C. Shah, Christian Anderson, Paul Breimyer, Stephanie Foster, Kelly Geyer, J. Daniel Griffith, Andrew Heier, Arjun Majumdar, Olga Simek, Nicholas Stanisha, Frederick R. Waugh:
Application of graph methods for leveraging open source data during disaster response. GHTC 2015: 259-266 - 2014
- [c1]Miriam Cha, Myra Nam, Kelly Geyer:
Joint SAR image compression and coherent change detection. IGARSS 2014: 13-16
Informal and Other Publications
- 2021
- [i2]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR abs/2111.01348 (2021) - 2020
- [i1]Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp, Genevera I. Allen:
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. CoRR abs/2011.09447 (2020)
Coauthor Index
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