yusuke1997/dblp-id-title huggingface dataset:
Derivative-Free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
Flows over Time with Load-Dependent Transit Times
An Interior Random Vector Algorithm for MultiStage Stochastic Linear Programs
An Invitation to Tame Optimization
Optimal Algorithms for Stochastic Complementary Composite Minimization
A Filter-Trust-Region Method for Unconstrained Optimization
Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method
An Affine-Scaling Interior-Point Method for Continuous Knapsack Constraints with Application to Support Vector Machines
Ekeland Variational Principles in Vector Equilibrium Problems
Optimization under Decision-Dependent Uncertainty
Mini-Batch Risk Forms
Adaptive Consensus: A Network Pruning Approach for Decentralized Optimization
Global Convergence of the Affine Scaling Algorithm for Convex Quadratic Programming
Superlinear Convergence of an Infeasible Predictor-Corrector Path-Following Interior Point Algorithm for a Semidefinite Linear Complementarity Problem Using the Helmberg--Kojima--Monteiro Direction
Polynomial Optimization with Real Varieties
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy
On the Behavior of the Douglas-Rachford Algorithm for Minimizing a Convex Function Subject to a Linear Constraint
Optimality Conditions and Error Analysis of Semilinear Elliptic Control Problems with L 1 Cost Functional
The Watermelon Algorithm for The Bilevel Integer Linear Programming Problem
Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions
The Affine Scaling Algorithm Fails for Stepsize 0.999
An Infeasible Active Set Method for Quadratic Problems with Simple Bounds
Convex Analysis on the Hermitian Matrices
Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations
Proximity Operators of Perspective Functions with Nonlinear Scaling
A Solution Method for Arbitrary Polyhedral Convex Set Optimization Problems
Quadratic Convergence of a Nonsmooth Newton-Type Method for Semidefinite Programs Without Strict Complementarity
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
Local Superlinear Convergence of Polynomial-Time Interior-Point Methods for Hyperbolicity Cone Optimization Problems
Higher-Order Predictor-Corrector Interior Point Methods with Application to Quadratic Objectives
Solving Lift-and-Project Relaxations of Binary Integer Programs
A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set
Solution Approaches to Linear Fractional Programming and Its Stochastic Generalizations Using Second Order Cone Approximations
Robust Approximation Schemes for Cube Packing
Generalizations of the Dennis-Moré Theorem
Adaptive Third-Order Methods for Composite Convex Optimization
Computing Semidefinite Programming Lower Bounds for the (Fractional) Chromatic Number Via Block-Diagonalization
Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming
Facially Dual Complete (Nice) Cones and Lexicographic Tangents
Riemannian Preconditioning
Some Convergence Properties of the Modified Log Barrier Method for Linear Programming
Approximate Solutions of Analytic Inequality Systems
First-Order and Second-Order Conditions for Error Bounds
Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming
Cutting Planes for Signomial Programming
A Privacy-Preserving Method to Optimize Distributed Resource Allocation
A Polynomial-Time Predictor-Corrector Algorithm for a Class of Linear Complementarity Problems
On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods
Newton's Method for Large Bound-Constrained Optimization Problems
Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces
Operations that Preserve the Covering Property of the Lifting Region
High-Order Optimization Methods for Fully Composite Problems
Lower Bounds for Polynomials with Simplex Newton Polytopes Based on Geometric Programming
Computing the Minimum Cost Pipe Network Interconnecting One Sink and Many Sources
SpaseLoc: An Adaptive Subproblem Algorithm for Scalable Wireless Sensor Network Localization
Optimal Control of the Sterilization of Prepackaged Food
Using Two-Dimensional Projections for Stronger Separation and Propagation of Bilinear Terms
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
Refined TSSOS
New Results on a Continuously Differentiable Exact Penalty Function
On the Minimum of a Polynomial Function on a Basic Closed Semialgebraic Set and Applications
Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka-Łojasiewicz Property Without Global Lipschitz Assumptions
A Unified Framework for Pricing in Nonconvex Resource Allocation Games
Optimality Conditions for Trust-Region Subproblems Involving a Conic Model
A Solver for Nonconvex Bound-Constrained Quadratic Optimization
Stability Results for Stochastic Programs and Sensors, Allowing for Discontinuous Objective Functions
Subdifferentials and Penalty Approximations of the Obstacle Problem
Decomposing Matrices into Blocks
The Convergent Generalized Central Paths for Linearly Constrained Convex Programming
Stability of Error Bounds for Semi-infinite Convex Constraint Systems
Why Broyden's Nonsymmetric Method Terminates on Linear Equations
An (O√(n) L)-Iteration Large-Step Primal-Dual Affine Algorithm for Linear Programming
A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians
Distributionally Robust Two-Stage Stochastic Programming
Bilevel Polynomial Programs and Semidefinite Relaxation Methods
A Central Cutting Plane Algorithm for Convex Semi-Infinite Programming Problems
Random Coordinate Descent Methods for Nonseparable Composite Optimization
Computing the Stability Number of a Graph Via Linear and Semidefinite Programming
Evaluation of Large-scale Optimization Problems on Vector and Parallel Architectures
Linear Inequality Scaling Problems
Rates of Convergence for a Class of Global Stochastic Optimization Algorithms
Projecting onto the Intersection of a Cone and a Sphere
Performance Bounds for PDE-Constrained Optimization under Uncertainty
Generalized Semi-Infinite Programming: The Nonsmooth Symmetric Reduction Ansatz
On the Linear Convergence of the Multimarginal Sinkhorn Algorithm
Interior Methods for Mathematical Programs with Complementarity Constraints
Distance to Solvability/Unsolvability in Linear Optimization
Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators
A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
A First-Order Primal-Dual Algorithm with Linesearch
Existence and Differentiability of Metric Projections in Hilbert Spaces
Convergent Algorithms for a Class of Convex Semi-infinite Programs
Some New Search Directions for Primal-Dual Interior Point Methods in Semidefinite Programming
Strong Duality for Semidefinite Programming
On Conditional Risk Assessments in Scenario Optimization
Unified Acceleration of High-Order Algorithms under General Hölder Continuity
The Multilinear Polytope for Acyclic Hypergraphs
Iterative Solution of Augmented Systems Arising in Interior Methods
Inexact Cuts in Stochastic Dual Dynamic Programming
Some Feasibility Issues in Mathematical Programs with Equilibrium Constraints
On the Local Convergence of a Predictor-Corrector Method for Semidefinite Programming
Generic Property of the Partial Calmness Condition for Bilevel Programming Problems
Data-Driven Approximation of Contextual Chance-Constrained Stochastic Programs
On Rates of Convergence for Stochastic Optimization Problems Under Non--Independent and Identically Distributed Sampling
Quasi-Variational Inequality Problems over Product Sets with Quasi-monotone Operators
Efficient Implementation of the Truncated-Newton Algorithm for Large-Scale Chemistry Applications
Generating Feasible Points for Mixed-Integer Convex Optimization Problems by Inner Parallel Cuts
Stochastic R 0 Matrix Linear Complementarity Problems
Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual
A Nonlinear Cone Separation Theorem and Scalarization in Nonconvex Vector Optimization
Continuum of Zero Points of a Mapping on a Compact, Convex Set
A Simple Parallel Algorithm with an O(1/t) Convergence Rate for General Convex Programs
A Trust-Region Approach to Nonlinear Systems of Equalities and Inequalities
Convergence Analysis of Inexact Infeasible-Interior-Point Algorithms for Solving Linear Programming Problems
Finite Convergence of Moment-SOS Relaxations with Nonreal Radical Ideals
A Globally Convergent LP-Newton Method
On Wolfe's Method for Resolving Degeneracy in Linearly Constrained Optimization
New Results on Quadratic Minimization
A Superlinearly Convergent Smoothing Newton Continuation Algorithm for Variational Inequalities over Definable Sets
The D 2 * -Triangulation for Continuous Deformation Algorithms to Compute Solutions of Nonlinear Equations
A New Exact Penalty Function
Conditional Gradient Methods for Convex Optimization with General Affine and Nonlinear Constraints
QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning
Convergence of Iterates of an Inexact Matrix Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problem
Horizon Maps and Graphical Convergence Revisited
Existence of Lagrange Multipliers under Gâteaux Differentiable Data with Applications to Stochastic Optimal Control Problems
Reducing Nonnegativity over General Semialgebraic Sets to Nonnegativity over Simple Sets
Shortest Paths in Graphs of Convex Sets
Sketched Newton-Raphson
Face Relative Interior of Convex Sets in Topological Vector Spaces
An Unconstrained Convex Programming Approach to Linear Semi-Infinite Programming
Scalarizing Functions for Generating the Weakly Efficient Solution Set in Convex Multiobjective Problems
From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective
Semi-Infinite Programming using High-Degree Polynomial Interpolants and Semidefinite Programming
A Riemannian Optimization Approach to the Matrix Singular Value Decomposition
Minimizing a Quadratic Over a Sphere
Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space
A Randomized Mirror-Prox Method for Solving Structured Large-Scale Matrix Saddle-Point Problems
Constraint Qualifications in Semi-Infinite Systems and Their Applications in Nonsmooth Semi-Infinite Problems with Mixed Constraints
Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions
Metric Subregularity of Piecewise Linear Multifunctions and Applications to Piecewise Linear Multiobjective Optimization
Projected Reflected Gradient Methods for Monotone Variational Inequalities
Chain Rules for Linear Openness in General Banach Spaces
Contracting Proximal Methods for Smooth Convex Optimization
A Class of Trust-Region Methods for Parallel Optimization
Monotonicity of Fixed Point and Normal Mappings Associated with Variational Inequality and Its Application
Efficient Solution of a Stochastic Scheduling Problem on an Out-Forest---Revisited
New Korkin--Zolotarev Inequalities
Novel Reformulations and Efficient Algorithms for the Generalized Trust Region Subproblem
Existence of Solutions to Discrete Semicoercive Frictional Contact Problems
Column $\ell_{2, 0}$-Norm Regularized Factorization Model of Low-Rank Matrix Recovery and Its Computation
A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics
Sample Average Approximation Method for Compound Stochastic Optimization Problems
Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization
Convergent Relaxations of Polynomial Optimization Problems with Noncommuting Variables
Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods
Local Convergence Analysis of Augmented Lagrangian Methods for Piecewise Linear-Quadratic Composite Optimization Problems
On the Sensitivity Analysis of Hoffman Constants for Systems of Linear Inequalities
Algebraic Degree of Polynomial Optimization
Block BFGS Methods
An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures
Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds
Sensitivity Analysis for Two-Level Value Functions with Applications to Bilevel Programming
A Comparison of a Moreau-Yosida-Based Active Set Strategy and Interior Point Methods for Constrained Optimal Control Problems
Frames and Grids in Unconstrained and Linearly Constrained Optimization: A Nonsmooth Approach
Convex Optimization Problems on Differentiable Sets
Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms
A Unilaterally Constrained Quadratic Minimization with Adaptive Finite Elements
Sufficient Second-Order Optimality Conditions for Semilinear Control Problems with Pointwise State Constraints
Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs
A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees
Potential Reduction Polynomial Time Method for Truss Topology Design
Quasi-Variational Inequalities in Banach Spaces: Theory and Augmented Lagrangian Methods
The Geometry of Strict Maximality
Stability and Sensitivity of Stochastic Dominance Constrained Optimization Models
Parallel Variable Transformation in Unconstrained Optimization
Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
Operator Splitting for a Homogeneous Embedding of the Linear Complementarity Problem
Distance-Sparsity Transference for Vertices of Corner Polyhedra
Second-Order Sufficient Conditions for Error Bounds in Banach Spaces
Duality for Optimization Problems with Infinite Sums
Probabilistic Interpretation of Linear Solvers
Duality in Reverse Convex Optimization
Maximum Entropy Derivation of Quasi-Newton Methods
ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization
An Optimal Positive Definite Update for Sparse Hessian Matrices
Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization
Efficient Reduction of Polynomial Zero-One Optimization to the Quadratic Case
A Progressive Barrier for Derivative-Free Nonlinear Programming
Shortest Networks for Smooth Curves
Aggregations of Quadratic Inequalities and Hidden Hyperplane Convexity
Continuous Selections of Solutions to Parametric Variational Inequalities
Matrices of Bounded Psd Rank are Easy to Detect
Global Convergence of Filter Methods for Nonlinear Programming
Outlier Detection in Time Series via Mixed-Integer Conic Quadratic Optimization
Regularized Newton Methods for Minimizing Functions with Hölder Continuous Hessians
Optimal Inequalities in Probability Theory: A Convex Optimization Approach
Polynomial Vector Variational Inequalities under Polynomial Constraints and Applications
A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems
On Sizing and Shifting the BFGS Update within the Sized-Broyden Family of Secant Updates
A Variant of the Vavasis--Ye Layered-Step Interior-Point Algorithm for Linear Programming
Convergence of New Inertial Proximal Methods for DC Programming
A Simplicial Algorithm for the Nonlinear Stationary Point Problem on an Unbounded Polyhedron
An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence
Analysis of the Convergence Rate for the Cyclic Projection Algorithm Applied to Basic Semialgebraic Convex Sets
Benign Landscapes of Low-Dimensional Relaxations for Orthogonal Synchronization on General Graphs
A Proximal Bundle Method with Approximate Subgradient Linearizations
A Stochastic Smoothing Algorithm for Semidefinite Programming
Stochastic Decomposition Method for Two-Stage Distributionally Robust Linear Optimization
Accelerated Block-coordinate Relaxation for Regularized Optimization
Non-stationary First-Order Primal-Dual Algorithms with Faster Convergence Rates
Can Parallel Branch and Bound without Communication Be Effective?
Proximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite Termination
Quasi-Newton Bundle-Type Methods for Nondifferentiable Convex Optimization
Nonpolyhedral Relaxations of Graph-Bisection Problems
Approximations of Stochastic Optimization Problems Subject to Measurability Constraints
A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
Robust Optimality and Duality in Multiobjective Optimization Problems under Data Uncertainty
The Limited Memory Conjugate Gradient Method
A Trust Region Method for Solving Generalized Complementarity Problems
Self-Scaled Barriers for Irreducible Symmetric Cones
0-1 Quadratic Knapsack Problems: An Exact Approach Based on a t-Linearization
Sum-of-Squares Hierarchies for Polynomial Optimization and the Christoffel-Darboux Kernel
Minimizing within Convex Bodies Using a Convex Hull Method
Deriving the Continuity of Maximum-Entropy Basis Functions via Variational Analysis
A Globally and Superlinearly Convergent Algorithm for Convex Quadratic Programs with Simple Bbounds
Transformation of Facets of the General Routing Problem Polytope
Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs
A Newton Algorithm for Semidiscrete Optimal Transport with Storage Fees
Reformulation of the M-Stationarity Conditions as a System of Discontinuous Equations and Its Solution by a Semismooth Newton Method
Mathematical Models and Polyhedral Studies for Integral Sheet Metal Design
A Barrier-Based Smoothing Proximal Point Algorithm for NCPs over Closed Convex Cones
Covering on a Convex Set in the Absence of Robinson's Regularity
A Predictor-Corrector Algorithm for Linear Optimization Based on a Specific Self-Regular Proximity Function
On Subgradient Projectors
Optimality Conditions and Constraint Qualifications for Generalized Nash Equilibrium Problems and Their Practical Implications
Bias Reduction in Sample-Based Optimization
Semi-Infinite Relaxations for the Dynamic Knapsack Problem with Stochastic Item Sizes
Special Issue on Variational Analysis and Optimization
Complexity Analysis of an Interior Cutting Plane Method for Convex Feasibility Problems
Optimality Conditions via Exact Penalty Functions
On the Second-Order Feasibility Cone: Primal-Dual Representation and Efficient Projection
Robust Markov Decision Processes with Data-Driven, Distance-Based Ambiguity Sets
Fast Global Optimization on the Torus, the Sphere, and the Rotation Group
Exact Penalty Function for ℓ 2, 1 Norm Minimization over the Stiefel Manifold
New Preconditioners for KKT Systems of Network Flow Problems
Stochastic Programming of Time-Consistent Extensions of AVaR
Multivariable Utility Functions
Convergence of a Class of Nonmonotone Descent Methods for Kurdyka-Łojasiewicz Optimization Problems
Fixed Point Optimization Algorithms for Distributed Optimization in Networked Systems
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Optimality Conditions for the Minimization of a Quadratic with Two Quadratic Constraints
A Feasible Method for General Convex Low-Rank SDP Problems
On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems
Complexity of Partially Separable Convexly Constrained Optimization with Non-Lipschitzian Singularities
A Symmetric Gauss-Seidel Based Majorized Augmented Lagrangian Method for Generalized Nash Equilibrium Problems in Hilbert Spaces
Decomposition in Conic Optimization with Partially Separable Structure
Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
Exact Augmented Lagrangian Duality for Mixed Integer Quadratic Programming
On the Convergence of Pattern Search Algorithms
A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization
Evaluations of Risk Measures for Different Probability Measures
Radial Epiderivatives and Asymptotic Functions in Nonconvex Vector Optimization
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming
A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians
Duality Between Subgradient and Conditional Gradient Methods
A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier
Rational Generalized Nash Equilibrium Problems
A Multiplier Rule for Multiobjective Programming Problems with Continuous Data
Low-Rank Optimization with Trace Norm Penalty
Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization
Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure
Finding Approximately Rank-One Submatrices with the Nuclear Norm and 퓁 1 -Norm
Monge Property and Bounding Multivariate Probability Distribution Functions with Given Marginals and Covariances
Lagrangian-Dual Functions and Moreau--Yosida Regularization
A Selective Linearization Method For Multiblock Convex Optimization
Modifying SQP for Degenerate Problems
A Full-Newton Step O(n) Infeasible Interior-Point Algorithm for Linear Optimization
An Appropriate Subdifferential for Quasiconvex Functions
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization
Generalized Subdifferentials of Spectral Functions over Euclidean Jordan Algebras
Nonsymmetric Search Directions for Semidefinite Programming
A Nonmonotone Proximal Bundle Method with (Potentially) Continuous Step Decisions
Error Bound Characterizations of the Conical Constraint Qualification in Convex Programming
Sharp Variational Conditions for Convex Composite Nonsmooth Functions
On the Complexity of the Production-Transportation Problem
TRFD: A Derivative-Free Trust-Region Method Based on Finite Differences for Composite Nonsmooth Optimization
A Complexity Analysis for Interior-Point Algorithms Based on Karmarkar's Potential Function
On A Class of Limited Memory Preconditioners For Large Scale Linear Systems With Multiple Right-Hand Sides
Relaxed Alternating Projection Methods
Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials
Smooth Approximations to Nonlinear Complementarity Problems
Fast Algorithms for Projection on an Ellipsoid
Active Sets, Nonsmoothness, and Sensitivity
Positivity and Optimization for Semi-Algebraic Functions
Regularity Properties of a Semismooth Reformulation of Variational Inequalities
Euclidean Distance Matrix Completion and Point Configurations from the Minimal Spanning Tree
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression
A Globally Convergent SQCQP Method for Multiobjective Optimization Problems
The Use of Quadratic Regularization with a Cubic Descent Condition for Unconstrained Optimization
The Proximal Average: Basic Theory
An Algebraic Condition Equivalent to Strong Stability of Stationary Solutions of Nonlinear Positive Semidefinite Programs
Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning
A Vector Labeling Method for Solving Discrete Zero Point and Complementarity Problems
A Revised Dual Projective Pivot Algorithm for Linear Programming
A Feasible Sequential Linear Equation Method for Inequality Constrained Optimization