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K. Scheinberg · SciRah

Researcher profile · Semantic Scholar

K. Scheinberg

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K. Scheinberg — researcher profile on SciRah

h-index: 42
Works: 122
Citations: 7,913

Most-cited papers

Introduction to Derivative-Free Optimization
A. Conn, K. Scheinberg, L. N. Vicente
2009MPS-SIAM series on optimization1,022 citations
Semantic Scholar
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M. Nguyen, Jie Liu, K. Scheinberg, Martin Takác
2017International Conference on Machine Learning739 citations
Semantic Scholar
Fast alternating linearization methods for minimizing the sum of two convex functions
D. Goldfarb, Shi-Qian Ma, K. Scheinberg
2009Mathematical programming282 citations Open access
Semantic Scholar
Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points
A. Conn, K. Scheinberg, L. N. Vicente
2009SIAM Journal on Optimization261 citations Open access
Semantic Scholar
A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization
A. Berahas, Liyuan Cao, K. Choromanski, K. Scheinberg
2019Foundations of Computational Mathematics260 citations Open access
Semantic Scholar
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam M. Nguyen, P. Nguyen, Marten van Dijk, Peter Richtárik +2 more
2018International Conference on Machine Learning251 citations
Semantic Scholar
Stochastic optimization using a trust-region method and random models
Ruobing Chen, Matt Menickelly, K. Scheinberg
2015Mathematical programming217 citations Open access
Semantic Scholar
Sparse Inverse Covariance Selection via Alternating Linearization Methods
K. Scheinberg, Shi-Qian Ma, D. Goldfarb
2010Neural Information Processing Systems201 citations
Semantic Scholar
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
C. Cartis, K. Scheinberg
2015Mathematical programming192 citations Open access
Semantic Scholar
Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales
J. Blanchet, C. Cartis, Matt Menickelly, K. Scheinberg
2019INFORMS Journal on Optimization157 citations Open access
Semantic Scholar
Convergence of Trust-Region Methods Based on Probabilistic Models
A. Bandeira, K. Scheinberg, L. N. Vicente
2013SIAM Journal on Optimization139 citations Open access
Semantic Scholar
A Stochastic Line Search Method with Expected Complexity Analysis
Courtney Paquette, K. Scheinberg
2020SIAM Journal on Optimization122 citations
Semantic Scholar
Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation
A. Conn, K. Scheinberg, L. N. Vicente
2008108 citations Open access
Semantic Scholar
Optimal decision trees for categorical data via integer programming
O. Günlük, J. Kalagnanam, Minhan Li, Matt Menickelly +1 more
2021Journal of Global Optimization101 citations
Semantic Scholar
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Lam M. Nguyen, Jie Liu, K. Scheinberg, Martin Takác
2017arXiv.org98 citations
Semantic Scholar
Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise
A. Berahas, Liyuan Cao, K. Scheinberg
2019SIAM Journal on Optimization97 citations Open access
Semantic Scholar
Least-squares approach to risk parity in portfolio selection
Xiaodi Bai, K. Scheinberg, R. Tutuncu
201694 citations Open access
Semantic Scholar
Practical inexact proximal quasi-Newton method with global complexity analysis
K. Scheinberg, Xiaocheng Tang
2013Mathematical programming91 citations Open access
Semantic Scholar
Fast First-Order Methods for Composite Convex Optimization with Backtracking
K. Scheinberg, D. Goldfarb, Xiaodi Bai
2014Foundations of Computational Mathematics89 citations
Semantic Scholar
New Convergence Aspects of Stochastic Gradient Algorithms
Lam M. Nguyen, P. Nguyen, Peter Richtárik, K. Scheinberg +2 more
2018Journal of machine learning research81 citations
Semantic Scholar
Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization
A. Bandeira, K. Scheinberg, L. N. Vicente
2012Mathematical programming79 citations Open access
Semantic Scholar
On the local convergence of a derivative-free algorithm for least-squares minimization
Hongchao Zhang, A. Conn, K. Scheinberg
2010Computational optimization and applications71 citations Open access
Semantic Scholar
Block Coordinate Descent Methods for Semidefinite Programming
Zaiwen Wen, D. Goldfarb, K. Scheinberg
201260 citations
Semantic Scholar
Inexact SARAH algorithm for stochastic optimization
Lam M. Nguyen, K. Scheinberg, Martin Takác
2018Optim. Methods Softw.57 citations Open access
Semantic Scholar
A Stochastic Trust Region Algorithm Based on Careful Step Normalization
F. Curtis, K. Scheinberg, R. Shi
2017INFORMS Journal on Optimization55 citations Open access
Semantic Scholar
A Stochastic Line Search Method with Convergence Rate Analysis
Courtney Paquette, K. Scheinberg
201853 citations
Semantic Scholar
Intensive optimization of masks and sources for 22nm lithography
A. Rosenbluth, D. Melville, K. Tian, S. Bagheri +14 more
2009Advanced Lithography53 citations
Semantic Scholar
First- and second-order high probability complexity bounds for trust-region methods with noisy oracles
Liyuan Cao, A. Berahas, K. Scheinberg
2022Mathematical programming50 citations Open access
Semantic Scholar
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning
F. Curtis, K. Scheinberg
2017arXiv.org49 citations Open access
Semantic Scholar
Convergence Rate Analysis of a Stochastic Trust Region Method for Nonconvex Optimization
J. Blanchet, C. Cartis, Matt Menickelly, K. Scheinberg
201645 citations
Semantic Scholar
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
K. Scheinberg, I. Rish
2010ECML/PKDD44 citations Open access
Semantic Scholar
Self-Correcting Geometry in Model-Based Algorithms for Derivative-Free Unconstrained Optimization
K. Scheinberg, P. Toint
2010SIAM Journal on Optimization42 citations Open access
Semantic Scholar
Finite Difference Gradient Approximation: To Randomize or Not?
K. Scheinberg
2022INFORMS journal on computing39 citations
Semantic Scholar
ROW BY ROW METHODS FOR SEMIDEFINITE PROGRAMMING
Zaiwen Wen, D. Goldfarb, Shiqian Ma, K. Scheinberg
200939 citations
Semantic Scholar
IBM Research Report SINCO - A Greedy Coordinate Ascent Method for Sparse Inverse Covariance Selection Problem
K. Scheinberg, I. Rish
200937 citations
Semantic Scholar
Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms
F. Curtis, K. Scheinberg
2020IEEE Signal Processing Magazine35 citations
Semantic Scholar
Optimal Generalized Decision Trees via Integer Programming
Matt Menickelly, O. Günlük, J. Kalagnanam, K. Scheinberg
2016arXiv.org34 citations
Semantic Scholar
Methodologies and software for derivative-free optimization
A. Custódio, K. Scheinberg, L. N. Vicente
201732 citations Open access
Semantic Scholar
Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates
Hiva Ghanbari, K. Scheinberg
2016Computational optimization and applications32 citations Open access
Semantic Scholar
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Billy Jin, K. Scheinberg, Miao Xie
2021Neural Information Processing Systems29 citations
Semantic Scholar
Geometry in model-based algorithms for derivative-free unconstrained optimization
K. Scheinberg
200929 citations
Semantic Scholar
Sample complexity analysis for adaptive optimization algorithms with stochastic oracles
Billy Jin, K. Scheinberg, Miao Xie
2023Mathematical programming28 citations Open access
Semantic Scholar
Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies
Mohammad Pirhooshyaran, K. Scheinberg, L. Snyder
2019Energy28 citations Open access
Semantic Scholar
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm
Hiva Ghanbari, K. Scheinberg
2017arXiv.org28 citations
Semantic Scholar
Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power
Kostas Hatalis, A. Lamadrid, K. Scheinberg, S. Kishore
201725 citations
Semantic Scholar
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles
Billy Jin, K. Scheinberg, Miao Xie
2021SIAM Journal on Optimization24 citations Open access
Semantic Scholar
On partial sparse recovery
A. Bandeira, K. Scheinberg, L. N. Vicente
2013arXiv.org22 citations
Semantic Scholar
Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization
A. Berahas, Liyuan Cao, K. Choromanski, K. Scheinberg
201920 citations
Semantic Scholar
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Trang H. Tran, Lam M. Nguyen, K. Scheinberg
2022International Conference on Machine Learning18 citations
Semantic Scholar
Convergence Rate Analysis of a Stochastic Trust Region Method via Submartingales
J. Blanchet, C. Cartis, Matt Menickelly, K. Scheinberg
201618 citations
Semantic Scholar

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