Sangkyun Lee
TitleCited byYear
Mutational dynamics between primary and relapse neuroblastomas
A Schramm, J Köster, Y Assenov, K Althoff, M Peifer, E Mahlow, ...
Nature genetics 47 (8), 872-877, 2015
1872015
Manifold identification in dual averaging for regularized stochastic online learning
S Lee, SJ Wright
The Journal of Machine Learning Research 13, 1705-1744, 2012
472012
Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning
S Lee, SJ Wright
the 28th International Conference on Machine Learning, 1121-1128, 2011
47*2011
Implementing algorithms for signal and image reconstruction on graphical processing units
S Lee, SJ Wright
Optimization Online 10, 2008
372008
Spatio-temporal random fields: compressible representation and distributed estimation
N Piatkowski, S Lee, K Morik
Machine learning 93 (1), 115-139, 2013
332013
Integer undirected graphical models for resource-constrained systems
N Piatkowski, S Lee, K Morik
Neurocomputing 173, 9-23, 2016
162016
Sensitivity to cdk1-inhibition is modulated by p53 status in preclinical models of embryonal tumors
M Schwermer, S Lee, J Köster, T Van Maerken, H Stephan, A Eggert, ...
Oncotarget 6 (17), 15425, 2015
142015
Knowledge discovery from complex high dimensional data
S Lee, A Holzinger
Solving Large Scale Learning Tasks. Challenges and Algorithms, 148-167, 2016
112016
Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling
S Lee, J Rahnenführer, M Lang, K De Preter, P Mestdagh, J Koster, ...
PloS one 9 (10), 2014
112014
Separable approximate optimization of support vector machines for distributed sensing
S Lee, M Stolpe, K Morik
ECML/PKDD, 387-402, 2012
112012
Sparse nonlinear support vector machines via stochastic approximation
S Lee, SJ Wright
Univ. of Wisconsin Report, submitted, 2010
82010
The Integer Approximation of Undirected Graphical Models
N Piatkowski, S Lee, K Morik
International Conference on Pattern Recognition Applications and Methods, 2014
72014
Stochastic Subgradient Estimation Training for Support Vector Machines
S Lee, SJ Wright
Mathematical Methodologies in Pattern Recognition and Machine Learning, 67-82, 2013
62013
Spatio-temporal models for sustainability
N Piatkowski, S Lee, K Morik
Proceedings of the SustKDD Workshop within ACM KDD, 2012
62012
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines.
S Lee, SJ Wright
International Conference on Pattern Recognition Applications and Methods …, 2012
62012
Decomposition algorithms for training large-scale semiparametric support vector machines
S Lee, SJ Wright
ECML/PKDD, 1-14, 2009
62009
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm.
S Lee, D Brzyski, M Bogdan
AISTATS, 780-789, 2016
52016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm
S Lee, D Brzyski, M Bogdan
AISTATS; JMLR: W&CP 51, 2016
52016
Sparse portfolio selection via the sorted ℓ1-Norm
PJ Kremer, S Lee, M Bogdan, S Paterlini
Journal of Banking & Finance 110, 105687, 2020
32020
Sparse portfolio selection via the sorted ℓ1-Norm
PJ Kremer, S Lee, M Bogdan, S Paterlini
Journal of Banking & Finance 110, 105687, 2020
32020
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Articles 1–20