Katya Scheinberg
Katya Scheinberg
Verified email at lehigh.edu
TitleCited byYear
Introduction to derivative-free optimization
AR Conn, K Scheinberg, LN Vicente
Siam, 2009
13302009
Efficient SVM training using low-rank kernel representations
S Fine, K Scheinberg
Journal of Machine Learning Research 2 (Dec), 243-264, 2001
6802001
Recent progress in unconstrained nonlinear optimization without derivatives
AR Conn, K Scheinberg, PL Toint
Mathematical programming 79 (1-3), 397, 1997
3131997
Fast alternating linearization methods for minimizing the sum of two convex functions
D Goldfarb, S Ma, K Scheinberg
Mathematical Programming 141 (1-2), 349-382, 2013
2332013
On the convergence of derivative-free methods for unconstrained optimization
AR Conn, K Scheinberg, PL Toint
Approximation theory and optimization: tributes to MJD Powell, 83-108, 1997
2181997
Global convergence of general derivative-free trust-region algorithms to first-and second-order critical points
AR Conn, K Scheinberg, LN Vicente
SIAM Journal on Optimization 20 (1), 387-415, 2009
1892009
Sparse inverse covariance selection via alternating linearization methods
K Scheinberg, S Ma, D Goldfarb
Advances in neural information processing systems, 2101-2109, 2010
1702010
Efficient block-coordinate descent algorithms for the group lasso
Z Qin, K Scheinberg, D Goldfarb
Mathematical Programming Computation 5 (2), 143-169, 2013
1552013
A derivative free optimization algorithm in practice
A Conn, K Scheinberg, P Toint
7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and c, 1998
1431998
Geometry of interpolation sets in derivative free optimization
AR Conn, K Scheinberg, LN Vicente
Mathematical programming 111 (1-2), 141-172, 2008
1192008
Interior point trajectories in semidefinite programming
D Goldfarb, K Scheinberg
SIAM Journal on Optimization 8 (4), 871-886, 1998
1051998
An efficient implementation of an active set method for SVMs
K Scheinberg
Journal of Machine Learning Research 7 (Oct), 2237-2257, 2006
1022006
SARAH: A novel method for machine learning problems using stochastic recursive gradient
LM Nguyen, J Liu, K Scheinberg, M Takáč
Proceedings of the 34th International Conference on Machine Learning-Volume c, 2017
882017
Self-correcting geometry in model-based algorithms for derivative-free unconstrained optimization
K Scheinberg, PL Toint
SIAM Journal on Optimization 20 (6), 3512-3532, 2010
752010
Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation
AR Conn, K Scheinberg, LN Vicente
IMA journal of numerical analysis 28 (4), 721-748, 2008
732008
A derivative-free algorithm for least-squares minimization
H Zhang, AR Conn, K Scheinberg
SIAM Journal on Optimization 20 (6), 3555-3576, 2010
722010
Duality and optimality conditions
A Shapiro, K Scheinberg
Handbook of semidefinite programming, 67-110, 2000
622000
Block coordinate descent methods for semidefinite programming
Z Wen, D Goldfarb, K Scheinberg
Handbook on semidefinite, conic and polynomial optimization, 533-564, 2012
602012
Intensive optimization of masks and sources for 22nm lithography
AE Rosenbluth, DO Melville, K Tian, S Bagheri, J Tirapu-Azpiroz, K Lai, ...
Optical Microlithography XXII 7274, 727409, 2009
542009
Convergence of trust-region methods based on probabilistic models
AS Bandeira, K Scheinberg, LN Vicente
SIAM Journal on Optimization 24 (3), 1238-1264, 2014
522014
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Articles 1–20