OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Journal on Optimization is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-03-01 to 2025-03-01.)

Article	Citations
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity	30
Improving the Global Convergence of Inexact Restoration Methods for Constrained Optimization Problems	27
Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function	24
On Integrality in Semidefinite Programming for Discrete Optimization	18
Corrigendum: Critical Cones for Sufficient Second Order Conditions in PDE Constrained Optimization	17
Vector Asymptotic Functions and Their Application to Multiobjective Optimization Problems	15
Nonasymptotic Upper Estimates for Errors of the Sample Average Approximation Method to Solve Risk-Averse Stochastic Programs	15
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials	11
Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization	11
Reducing Nonnegativity over General Semialgebraic Sets to Nonnegativity over Simple Sets	11
A Sequential Quadratic Programming Algorithm for Nonsmooth Problems with Upper- ${\boldsymbol{\mathcal{C}^2}}$ Objective	10
Variational Convexity of Functions and Variational Sufficiency in Optimization	10
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning	10
Harmonic Hierarchies for Polynomial Optimization	10
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off	9
Towards Global Solutions for Nonconvex Two-Stage Stochastic Programs: A Polynomial Lower Approximation Approach	9
Performance Bounds for PDE-Constrained Optimization under Uncertainty	9
PCA Sparsified	9
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives	8
The Computation of Approximate Generalized Feedback Nash Equilibria	8
Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization	8
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles	8
Convergence Properties of an Objective-Function-Free Optimization Regularization Algorithm, Including an $\boldsymbol{\mathcal{O}(\epsilon^{-3/2})}$ Complexity Bound	8
On Minimal Extended Representations of Generalized Power Cones	8
Frank--Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning	8

Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization	7
Min-Max-Min Optimization with Smooth and Strongly Convex Objectives	7
Stability Analysis of Discrete-Time Linear Complementarity Systems	7
Affine Relaxations of the Best Response Algorithm: Global Convergence in Ratio-Bounded Games	7
Random Coordinate Descent Methods for Nonseparable Composite Optimization	7
A Sequential Quadratic Programming Method With High-Probability Complexity Bounds for Nonlinear Equality-Constrained Stochastic Optimization	7
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation	7
Constrained Consensus-Based Optimization	6
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency	6
Symmetry Reduction in AM/GM-Based Optimization	6
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions	6
Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data	6
Sketched Newton--Raphson	6
On Obtaining the Convex Hull of Quadratic Inequalities via Aggregations	6
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality	6
Stochastic Decomposition Method for Two-Stage Distributionally Robust Linear Optimization	6
A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering	6
DIMIX: Diminishing Mixing for Sloppy Agents	5
Occupation Measure Relaxations in Variational Problems: The Role of Convexity	5
Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming	5
Minimum Spanning Trees in Infinite Graphs: Theory and Algorithms	5
Optimal Self-Concordant Barriers for Quantum Relative Entropies	5
On Local Minimizers of Nonconvex Homogeneous Quadratically Constrained Quadratic Optimization with at Most Two Constraints	5
Stochastic Trust-Region and Direct-Search Methods: A Weak Tail Bound Condition and Reduced Sample Sizing	5
Pivot Rules for Circuit-Augmentation Algorithms in Linear Optimization	5
A Riemannian Proximal Newton Method	5
Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence	5
QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning	5
A Correlatively Sparse Lagrange Multiplier Expression Relaxation for Polynomial Optimization	5
Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates	4
Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators	4
Harnessing Structure in Composite Nonsmooth Minimization	4
Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube	4
Approximating Min-Mean-Cycle for Low-Diameter Graphs in Near-Optimal Time and Memory	4
Stability Properties for Parametric Linear Programs under Data Ambiguities	4
A Dynamic Smoothing Technique for a Class of Nonsmooth Optimization Problems on Manifolds	4
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints	4
Moderate Deviations and Invariance Principles for Sample Average Approximations	4
Optimal Convergence Rates for the Proximal Bundle Method	4
Model-Based Derivative-Free Methods for Convex-Constrained Optimization	4
Subgradient Sampling for Nonsmooth Nonconvex Minimization	4
Active-Set Identification with Complexity Guarantees of an Almost Cyclic 2-Coordinate Descent Method with Armijo Line Search	4
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise	4
Fenchel Duality and a Separation Theorem on Hadamard Manifolds	4
Derivative-Free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems	3
Fenchel–Young Inequality with a Remainder and Applications to Convex Duality and Optimal Transport	3
The Bregman Proximal Average	3
Geometric Duality Results and Approximation Algorithms for Convex Vector Optimization Problems	3
Convergence Rate of Random Scan Coordinate Ascent Variational Inference Under Log-Concavity	3
Convex Representatives of the Value Function and Aumann Integrals in Normed Spaces	3

An Unbiased Approach to Low Rank Recovery	3
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms	3
Accelerated Minimax Algorithms Flock Together	3
Maximizing Convergence Time in Network Averaging Dynamics Subject to Edge Removal	3
Optimal Methods for Convex Risk-Averse Distributed Optimization	3
Cyclic Coordinate Dual Averaging with Extrapolation	3
Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints	3
Convexification with Bounded Gap for Randomly Projected Quadratic Optimization	3
From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective	3
The Ratio-Cut Polytope and K-Means Clustering	3
Time Consistency for Multistage Stochastic Optimization Problems under Constraints in Expectation	3
First-Order Algorithms for a Class of Fractional Optimization Problems	3
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow	3
Parabolic Optimal Control Problems with Combinatorial Switching Constraints, Part II: Outer Approximation Algorithm	3
Sion’s Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm	3
Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side Uncertainty	3
A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods	3
Accelerated Forward-Backward Optimization Using Deep Learning	3
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization	3
Constrained Optimization in the Presence of Noise	2
Parabolic Optimal Control Problems with Combinatorial Switching Constraints, Part I: Convex Relaxations	2
Robust Markov Decision Processes with Data-Driven, Distance-Based Ambiguity Sets	2
Approximation Guarantees for Min-Max-Min Robust Optimization and ${\boldsymbol{k}}$-Adaptability Under Objective Uncertainty	2
Generalized Power Cones: Optimal Error Bounds and Automorphisms	2
Sum-of-Squares Hierarchies for Polynomial Optimization and the Christoffel--Darboux Kernel	2
Optimal Algorithms for Stochastic Complementary Composite Minimization	2
MIP Relaxations in Factorable Programming	2
Basic Convex Analysis in Metric Spaces with Bounded Curvature	2
On a Differential Generalized Nash Equilibrium Problem with Mean Field Interaction	2
Constraint Qualifications and Strong Global Convergence Properties of an Augmented Lagrangian Method on Riemannian Manifolds	2
Implicit Regularity and Linear Convergence Rates for the Generalized Trust-Region Subproblem	2
Stochastic Differential Equations for Modeling First Order Optimization Methods	2
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems	2
Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization	2
Partial Smoothness and Constant Rank	2
Adaptive Third-Order Methods for Composite Convex Optimization	2
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm	2
Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems	2
Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates	2
Provably Faster Gradient Descent via Long Steps	2
Weighted Geometric Mean, Minimum Mediated Set, and Optimal Simple Second-Order Cone Representation	2
Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators	2
Constrained, Global Optimization of Unknown Functions with Lipschitz Continuous Gradients	2
Differentially Private Accelerated Optimization Algorithms	2
From Calmness to Hoffman Constants for Linear Semi-infinite Inequality Systems	2
A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse Functions	2
The Bipartite Boolean Quadric Polytope with Multiple-Choice Constraints	2
Decomposition Methods for Global Solution of Mixed-Integer Linear Programs	2
Global Complexity Bound of a Proximal ADMM for Linearly Constrained Nonseparable Nonconvex Composite Programming	2
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games	2
Construction of Multivariate Polynomial Approximation Kernels via Semidefinite Programming	2
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness	2
Linear Programming on the Stiefel Manifold	2
Uncertainty Preferences in Robust Mixed-Integer Linear Optimization with Endogenous Uncertainty	2
Randomized Douglas–Rachford Methods for Linear Systems: Improved Accuracy and Efficiency	2
Corrigendum: Convex Optimization Problems on Differentiable Sets	2
Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization	2
A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer	2
A Path-Based Approach to Constrained Sparse Optimization	2
Super-Universal Regularized Newton Method	2
Dual Descent Augmented Lagrangian Method and Alternating Direction Method of Multipliers	2
Preference Robust Optimization for Choice Functions on the Space of CDFs	2
A Family of $\boldsymbol{s}$-Rectangular Robust MDPs: Relative Conservativeness, Asymptotic Analyses, and Finite-Sample Properties	2
Stochastic Trust-Region Algorithm in Random Subspaces with Convergence and Expected Complexity Analyses	2
Distributionally Robust Two-Stage Stochastic Programming	2
Aggregations of Quadratic Inequalities and Hidden Hyperplane Convexity	2
Solution of Mismatched Monotone+Lipschitz Inclusion Problems	2