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Katya Scheinberg
Katya Scheinberg
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Introduction to derivative-free optimization
AR Conn, K Scheinberg, LN Vicente
Society for Industrial and Applied Mathematics, 2009
19762009
Efficient SVM training using low-rank kernel representations
S Fine, K Scheinberg
Journal of Machine Learning Research 2 (Dec), 243-264, 2001
7872001
SARAH: A novel method for machine learning problems using stochastic recursive gradient
LM Nguyen, J Liu, K Scheinberg, M Takáč
International Conference on Machine Learning, 2613-2621, 2017
4152017
Recent progress in unconstrained nonlinear optimization without derivatives
AR Conn, K Scheinberg, PL Toint
Mathematical programming 79 (1), 397-414, 1997
3461997
Fast alternating linearization methods for minimizing the sum of two convex functions
D Goldfarb, S Ma, K Scheinberg
Mathematical Programming 141 (1), 349-382, 2013
2952013
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
2651997
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
2542009
Sparse inverse covariance selection via alternating linearization methods
K Scheinberg, S Ma, D Goldfarb
Advances in neural information processing systems 23, 2010
2302010
Efficient block-coordinate descent algorithms for the group lasso
Z Qin, K Scheinberg, D Goldfarb
Mathematical Programming Computation 5 (2), 143-169, 2013
2122013
Geometry of interpolation sets in derivative free optimization
AR Conn, K Scheinberg, LN Vicente
Mathematical programming 111 (1), 141-172, 2008
1702008
IBM Research TRECVID-2006 Video Retrieval System.
M Campbell, A Haubold, S Ebadollahi, D Joshi, MR Naphade, A Natsev, ...
TRECVID, 175-182, 2006
1572006
A derivative free optimization algorithm in practice
A Conn, K Scheinberg, P Toint
7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and …, 1998
1521998
SGD and Hogwild! convergence without the bounded gradients assumption
L Nguyen, PH Nguyen, M Dijk, P Richtárik, K Scheinberg, M Takác
International Conference on Machine Learning, 3750-3758, 2018
1512018
Stochastic optimization using a trust-region method and random models
R Chen, M Menickelly, K Scheinberg
Mathematical Programming 169 (2), 447-487, 2018
1172018
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
C Cartis, K Scheinberg
Mathematical Programming 169 (2), 337-375, 2018
1152018
An efficient implementation of an active set method for SVMs.
K Scheinberg, KP Bennett, E Parrado-Hernández
Journal of Machine Learning Research 7 (10), 2006
1152006
Interior point trajectories in semidefinite programming
D Goldfarb, K Scheinberg
SIAM Journal on Optimization 8 (4), 871-886, 1998
1111998
A derivative-free algorithm for least-squares minimization
H Zhang, AR Conn, K Scheinberg
SIAM Journal on Optimization 20 (6), 3555-3576, 2010
1082010
Convergence of trust-region methods based on probabilistic models
AS Bandeira, K Scheinberg, LN Vicente
SIAM Journal on Optimization 24 (3), 1238-1264, 2014
1052014
Convergence rate analysis of a stochastic trust-region method via supermartingales
J Blanchet, C Cartis, M Menickelly, K Scheinberg
INFORMS journal on optimization 1 (2), 92-119, 2019
99*2019
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