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ORCIDDaniel Vainsencher
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2010 – 2019
- 2017
[c6]Daniel Vainsencher, Shie Mannor, Huan Xu:
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT 2017: 1849-1881- 2015
- [c5]Daniel Vainsencher, Han Liu, Tong Zhang:
Local Smoothness in Variance Reduced Optimization. NIPS 2015: 2179-2187 - 2013
- [c4]Daniel Vainsencher, Shie Mannor, Huan Xu:
Learning Multiple Models via Regularized Weighting. NIPS 2013: 1977-1985 - 2011
- [j4]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. J. Mach. Learn. Res. 12: 3259-3281 (2011) - [c3]Daniel Vainsencher, Ofer Dekel, Shie Mannor:
Bundle Selling by Online Estimation of Valuation Functions. ICML 2011: 1137-1144 - [c2]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. COLT 2011: 773-788 - 2010
- [i1]Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein:
The Sample Complexity of Dictionary Learning. CoRR abs/1011.5395 (2010)
2000 – 2009
- 2009
- [j3]Daniel Vainsencher, Andrew P. Black
:
A Pattern Language for Extensible Program Representation. Trans. Pattern Lang. Program. 1: 1-47 (2009) - 2008
- [j2]Daniel Vainsencher, Alfred M. Bruckstein:
On isoperimetrically optimal polyforms. Theor. Comput. Sci. 406(1-2): 146-159 (2008) - 2006
- [c1]Yaniv Altshuler, Vladimir Yanovski, Daniel Vainsencher, Israel A. Wagner, Alfred M. Bruckstein:
On Minimal Perimeter Polyminoes. DGCI 2006: 17-28 - 2004
- [j1]Daniel Vainsencher:
MudPie: layers in the ball of mud. Comput. Lang. Syst. Struct. 30(1-2): 5-19 (2004)
Coauthor Index
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