All Areas Submissions  April 2019
Stochastic Programming
Identifying Effective Scenarios for Sample Average Approximation
Lijian Chen
Linear, Cone and Semidefinite Programming
LogarithmicBarrier Decomposition InteriorPoint Methods for Stochastic Linear Optimization in a Hilbert Space
Baha Alzalg
Applications — Science and Engineering
Discrete Optimization Methods for Group Model Selection in Compressed Sensing
Bubacarr Bah, Jannis Kurtz, Oliver Schaudt
Combinatorial Optimization
The Quadratic Cycle Cover Problem: special cases and efficient bounds
de Meijer Frank, Renata Sotirov
Other Topics
Derivativefree optimization methods
Jeffrey Larson, Matt Menickelly, Stefan Wild
Nonlinear Optimization
On monotonic estimates of the norm of the minimizers of regularized quadratic functions in Krylov spaces
Coralia Cartis, Nick Gould, Marius Lange
Nonlinear Optimization
Derivativefree optimization methods
Jeffrey Larson, Matt Menickelly, Stefan Wild
Nonlinear Optimization
A LogBarrier NewtonCG Method for Bound Constrained Optimization with Complexity Guarantees
Michael O'Neill, Stephen J. Wright
Linear, Cone and Semidefinite Programming
Noisy Euclidean Distance Matrix Completion with a Single Missing Node
Stefan Sremac, Fei Wang , Henry Wolkowicz, Lucas Pettersson
Applications — OR and Management Sciences
Mathematical formulations for a twoechelon inventory routing problem
Katyanne Farias, Khaled HadjHamou, Claude Yugma
Stochastic Programming
Distributionally robust optimization with multiple time scales: valuation of a thermal power plant
Wim van Ackooij, Daniela Escobar, Martin Glanzer, Georg Ch. Pflug
Stochastic Programming
Normal Approximation for Stochastic Gradient Descent via NonAsymptotic Rates of Martingale CLT
Andreas Anastasiou, Krishnakumar Balasubramanian, Murat A. Erdogdu
Convex and Nonsmooth Optimization
ConvexConcave Backtracking for Inertial Bregman Proximal Gradient Algorithms in NonConvex Optimization
Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
Nonlinear Optimization
RaBVItG:An Algorithm for Solving a Class of MultiPlayers Feedback Nash Differential Games
Jorge Herrera de la Cruz, Benjamin Ivorra, Ángel M. Ramos
Linear, Cone and Semidefinite Programming
Lower Bounds for the Bandwidth Problem
Franz Rendl, Renata Sotirov, Truden Christian
Combinatorial Optimization
Knapsack Polytopes  A Survey
Christopher Hojny, Tristan Gally, Oliver Habeck, Hendrik Lüthen, Frederic Matter, Marc E. Pfetsch, Andreas Schmitt
Linear, Cone and Semidefinite Programming
BurerMonteiro guarantees for general semidefinite programs
Diego Cifuentes
Nonlinear Optimization
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
H. Nhan Pham, M. Lam Nguyen, T. Dzung Phan, Quoc TranDinh
Linear, Cone and Semidefinite Programming
SelfConcordance and Matrix Monotonicity with Applications to Quantum Entanglement Problems
Leonid Faybusovich, Cunlu Zhou
Linear, Cone and Semidefinite Programming
Convergence analysis of a Lasserre hierarchy of upper bounds for polynomial minimization on the sphere
Etienne de Klerk, Monique Laurent
Integer Programming
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data
Hasan Manzour, Simge Kucukyavuz, Ali Shojaie
Combinatorial Optimization
A Combinatorial Algorithm for the Multicommodity Flow Problem
Pengfei Liu
Global Optimization
New bounds for nonconvex quadratically constrained quadratic programming
Moslem Zamani
Global Optimization
A Class of Stochastic Variance Reduced Methods with an Adaptive Stepsize
YAN LIU, Congying HAN, Tiande GUO
Nonlinear Optimization
Trustregion methods for the derivativefree optimization of nonsmooth blackbox functions
G. Liuzzi, S. Lucidi, F. Rinaldi, L. N. Vicente
Integer Programming
There's No Free Lunch: On the Hardness of Choosing a Correct BigM in Bilevel Optimization
Thomas Kleinert, Martine Labbé, Fränk Plein, Martin Schmidt
Linear, Cone and Semidefinite Programming
A Projective Approach to Nonnegative Matrix Factorization
Patrick Groetzner
Applications — OR and Management Sciences
PUBLIC R&D PROJECT PORTFOLIO SELECTION UNDER EXPENDITURE UNCERTAINTY AND POLICY CONSTRAINTS
Musa Caglar, Sinan Gurel
Convex and Nonsmooth Optimization
Relativeerror inertialrelaxed inexact versions of DouglasRachford and ADMM splitting algorithms
M. Marques Alves, Jonathan Eckstein, Marina Geremia, Jefferson Melo
Convex and Nonsmooth Optimization
Lowrank matrix recovery with composite optimization: good conditioning and rapid convergence
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Diaz, Lijun Ding, Dmitriy Drusvyatskiy
Nonlinear Optimization
Scalable Preconditioning of BlockStructured Linear Algebra Systems using ADMM
Jose Rodriguez, Carl Laird, Victor Zavala
Robust Optimization
General risk measures for robust machine learning
Émilie Chouzenoux, Henri Gérard, JeanChristophe Pesquet
Convex and Nonsmooth Optimization
A linearly convergent stochastic recursive gradient method for convex optimization
Yan Liu, Xiao Wang, Tiande Guo
Applications — Science and Engineering
An analysis of noise folding for lowrank matrix recovery
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
Nonlinear Optimization
Tensor Methods for Minimizing Functions with H\"{o}lder Continuous HigherOrder Derivatives
Geovani Nunes Grapiglia, Yurii Nesterov
Convex and Nonsmooth Optimization
Stability Analysis for a Class of Sparse Optimization Problems
J.L. XU, YunBin ZHAO
Convex and Nonsmooth Optimization
NonStationary FirstOrder PrimalDual Algorithms with Fast Convergence Rates
Quoc TranDinh, Yuzixuan Zhu
Stochastic Programming
A Framework for Solving ChanceConstrained Linear Matrix Inequality Programs
Roya Karimi, Jianqiang Cheng, Miguel Lejeune
