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Tina Woolf
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2010 – 2019
- 2018
- [j3]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Classification Using Binary Data. J. Mach. Learn. Res. 19: 61:1-61:30 (2018) - 2017
- [j2]Nam Nguyen, Deanna Needell
, Tina Woolf:
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints. IEEE Trans. Inf. Theory 63(11): 6869-6895 (2017) - [c3]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Object Classification Using Binary Data. AAAI Fall Symposia 2017: 218-224 - [c2]Dror Baron
, Anna Ma, Deanna Needell, Cynthia Rush
, Tina Woolf:
Conditional approximate message passing with side information. ACSSC 2017: 430-434 - [c1]Deanna Needell, Tina Woolf:
An asynchronous parallel approach to sparse recovery. ITA 2017: 1-5 - [i5]Deanna Needell, Tina Woolf:
An Asynchronous Parallel Approach to Sparse Recovery. CoRR abs/1701.03458 (2017) - [i4]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Classification using Binary Data. CoRR abs/1707.01945 (2017) - 2016
- [j1]Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf:
Constrained Adaptive Sensing. IEEE Trans. Signal Process. 64(20): 5437-5449 (2016) - [i3]Deanna Needell, Rayan Saab, Tina Woolf:
Weighted ℓ1-Minimization for Sparse Recovery under Arbitrary Prior Information. CoRR abs/1606.01295 (2016) - 2015
- [i2]Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf:
Constrained adaptive sensing. CoRR abs/1506.05889 (2015) - 2014
- [i1]Nam Nguyen, Deanna Needell, Tina Woolf:
Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints. CoRR abs/1407.0088 (2014)
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