yusuke1997/dblp-id-title huggingface dataset:
Superlinear Convergence of a Semismooth Newton Method for Some Optimization Problems with Applications to Control Theory
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
Convergence Analysis of a Norm Minimization-Based Convex Vector Optimization Algorithm
Comparison and Automated Selection of Local Optimization Solvers for Interval Global Optimization Methods
A Geometrical Analysis on Convex Conic Reformulations of Quadratic and Polynomial Optimization Problems
On the Turing Model Complexity of Interior Point Methods for Semidefinite Programming
Optimization as an Analysis Tool for Human Complex Problem Solving
Accelerated, Parallel, and Proximal Coordinate Descent
Distributionally Robust Partially Observable Markov Decision Process with Moment-Based Ambiguity
Relative Lipschitz-like Property of Parametric Systems via Projectional Coderivatives
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs
Decomposition Algorithms for Two-Stage Distributionally Robust Mixed Binary Programs
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off
First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization
Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming
Uniformly Extremal Solutions in Sobolev Function Spaces for the Quadratic Case: Characterization and Applications
Rates of Convergence in Stochastic Programs with Complete Integer Recourse
Approximating Binary Images from Discrete X-Rays
A Complete Characterization of the Gap between Convexity and SOS-Convexity
Erratum: Mesh Adaptive Direct Search Algorithms for Constrained Optimization
Unconstrained Optimization of Real Functions in Complex Variables
A Nonsmooth Trust-Region Method for Locally Lipschitz Functions with Application to Optimization Problems Constrained by Variational Inequalities
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization
The Rate of Convergence of Nesterov's Accelerated Forward-Backward Method is Actually Faster Than 1/k 2
A Feasible Trust-Region Sequential Quadratic Programming Algorithm
Periodical Multistage Stochastic Programs
Pattern Search Algorithms for Bound Constrained Minimization
On the Benefit of Width for Neural Networks: Disappearance of Basins
Low-Rank Inducing Norms with Optimality Interpretations
On the Convergence of Gradient-Like Flows with Noisy Gradient Input
Maximizing Convergence Time in Network Averaging Dynamics Subject to Edge Removal
Large-Scale Optimization of Eigenvalues
Massively Parallel Row-Action Algorithms for Some Nonlinear Transportation Problems
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
Functions Which Are Quasiconvex under Linear Perturbations
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints
Weak Sharp Minima in Multicriteria Linear Programming
Regularization Methods for SDP Relaxations in Large-Scale Polynomial Optimization
Numerical Analysis of V U -Decomposition, U -Gradient, and U -Hessian Approximations
New First-Order Algorithms for Stochastic Variational Inequalities
Decentralized Resource Allocation in Dynamic Networks of Agents
Reconstruction with Noisy Data: An Approach via Eigenvalue Optimization
Computable Error Bounds For Convex Inequality Systems In Reflexive Banach Spaces
Algorithms to Solve Unbounded Convex Vector Optimization Problems
Certifying Solutions of Degenerate Semidefinite Programs
Higher-Order Methods for Convex-Concave Min-Max Optimization and Monotone Variational Inequalities
Optimization Methods on Riemannian Manifolds and Their Application to Shape Space
Subset Algebra Lift Operators for 0-1 Integer Programming
A Broyden Class of Quasi-Newton Methods for Riemannian Optimization
Mathematical Programs with Equilibrium Constraints: Enhanced Fritz John-conditions, New Constraint Qualifications, and Improved Exact Penalty Results
Nonconvex Phase Synchronization
Convex Functions with Unbounded Level Sets and Applications to Duality Theory
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems
Maximum-Volume Symmetric Gauge Ball Problem on the Convex Cone of Positive Definite Matrices and Convexity of Optimal Sets
A Simplified Approach to Semismooth Newton Methods in Function Space
Solving Multiple Knapsack Problems by Cutting Planes
Parameterized Minimax Problem: On Lipschitz-Like Dependence of the Solution with Respect to the Parameter
Calmness Modulus of Linear Semi-infinite Programs
Descent Properties of an Anderson Accelerated Gradient Method with Restarting
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes
Extended Active Constraints in Linear Optimization with Applications
Universal Rigidity and Edge Sparsification for Sensor Network Localization
Functional Inequalities in the Absence of Convexity and Lower Semicontinuity with Applications to Optimization
Reformulation of Variational Inequalities on a Simplex and Compactification of Complementarity Problems
A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P *(kappa) Linear Complementarity Problems
An Interior Proximal Algorithm and the Exponential Multiplier Method for Semidefinite Programming
Generalized Differentiation of Probability Functions Acting on an Infinite System of Constraints
Necessary Optimality Conditions for Nonsmooth Multicriterial Optimization Problems
Second-Order Algorithms for Generalized Finite and Semi-Infinite Min-Max Problems
Solving LP Relaxations of Some NP-Hard Problems Is As Hard As Solving Any Linear Program
A (k+1)-Slope Theorem for the k-Dimensional Infinite Group Relaxation
Can Cut-Generating Functions Be Good and Efficient?
Calmness for L-Subsmooth Multifunctions in Banach Spaces
On Local Solutions of the Celis--Dennis--Tapia Subproblem
Scaled Stability in Variational Problems
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Regularized HPE-Type Methods for Solving Monotone Inclusions with Improved Pointwise Iteration-Complexity Bounds
On a Distributed Control Problem Arising in Dynamic Optimization of a Fixed-Size Population
A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints
A Semidefinite Hierarchy for Containment of Spectrahedra
Kronecker Product Constraints with an Application to the Two-Trust-Region Subproblem
Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators
Convergence Properties of Proximal (Sub)gradient Methods without Convexity or Smoothness of Any of the Functions
On Optimization Problems with Variational Inequality Constraints
A Pattern Search Filter Method for Nonlinear Programming without Derivatives
A Subgradient Method for Vector Optimization Problems
Partially Augmented Lagrangian Method for Matrix Inequality Constraints
On Metric Regularity for Weakly Almost Piecewise Smooth Functions and Some Applications in Nonlinear Semidefinite Programming
An Unbiased Approach to Low Rank Recovery
Optimization Problems with Second Order Stochastic Dominance Constraints: Duality, Compact Formulations, and Cut Generation Methods
Simultaneous Primal-Dual Right-Hand-Side Sensitivity Analysis from a Strictly Complementary Solution of a Linear Program
On the Convergence of a Class of Infeasible Interior-Point Methods for the Horizontal Linear Complementarity Problem
Improved Algorithms for Convex Minimization in Relative Scale
Mixing Sets Linked by Bidirected Paths
On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems
Versions of the Weierstrass Theorem for Bifunctions and Solution Existence in Optimization
ANOVA-MOP: ANOVA Decomposition for Multiobjective Optimization
Constrained Minima and Lipschitzian Penalties in Metric Spaces
Singular Continuation: Generating Piecewise Linear Approximations to Pareto Sets via Global Analysis
A Convex Approximation for Two-Stage Mixed-Integer Recourse Models with a Uniform Error Bound
On Multivariate Discrete Moment Problems: Generalization of the Bivariate Min Algorithm for Higher Dimensions
Robust Solutions to Uncertain Semidefinite Programs
Variational Properties of Value Functions
Progress Made in Solving the Multicommodity Flow Problem
A Global Algorithm for Nonlinear Semidefinite Programming
Connectivity of Quadratic Hypersurfaces and Its Applications in Optimization, Part I: General Theory
Direct Search Based on Probabilistic Descent
Error Bound and Convergence Analysis of Matrix Splitting Algorithms for the Affine Variational Inequality Problem
Optimal Self-Concordant Barriers for Quantum Relative Entropies
Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian
Cones of Matrices and Successive Convex Relaxations of Nonconvex Sets
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration
On the Convergence Rate of Incremental Aggregated Gradient Algorithms
A Trust Region Method for Parabolic Boundary Control Problems
Exact Semidefinite Programming Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems
Global Error Bounds for Convex Conic Problems
Infeasibility Detection and SQP Methods for Nonlinear Optimization
On Convergence of Kernel Learning Estimators
A Potential Reduction Newton Method for Constrained Equations
Strong Stationarity for Optimal Control of a Nonsmooth Coupled System: Application to a Viscous Evolutionary Variational Inequality Coupled with an Elliptic PDE
Second-Order Subdifferential Calculus with Applications to Tilt Stability in Optimization
Zeroth-Order Riemannian Averaging Stochastic Approximation Algorithms
Variational Analysis of Pseudospectra
Subset Selection and the Cone of Factor-Width- k Matrices
Global Convergence of a Class of Trust Region Algorithms for Optimization Using Inexact Projections on Convex Constraints
Stable Minimizers of φ-Regular Functions
Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis
Newton's Method for a Class of Optimal Shape Design Problems
Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
Primal-Dual Active Set Strategy for a General Class of Constrained Optimal Control Problems
New Bounds for the Integer Carathéodory Rank
Robust Optimization with Continuous Decision-Dependent Uncertainty with applications to demand response management
Second-Order Optimality Conditions for Boundary Control Problems with Mixed Pointwise Constraints
Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables
Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods
Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
Incorporating Condition Measures into the Complexity Theory of Linear Programming
Topology of Pareto Sets of Strongly Convex Problems
Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems
Inexact Cuts in Benders Decomposition
Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results
On the Rate of Convergence of a Partially Asynchronous Gradient Projection Algorithm
A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints
Interior Point Methods for Sufficient Horizontal LCP in a Wide Neighborhood of the Central Path with Best Known Iteration Complexity
Generalized Lagrangian Duals and Sums of Squares Relaxations of Sparse Polynomial Optimization Problems
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation
On the O(1/t) Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization
Relaxing Kink Qualifications and Proving Convergence Rates in Piecewise Smooth Optimization
Biquadratic Optimization Over Unit Spheres and Semidefinite Programming Relaxations
On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming
How Do Exponential Size Solutions Arise in Semidefinite Programming?
Modeling Compensation for Optical Fiber Communication Systems
MultiComposite Nonconvex Optimization for Training Deep Neural Networks
Parallel Constraint Distribution
Subdifferentials of Nonconvex Supremum Functions and Their Applications to Semi-infinite and Infinite Programs with Lipschitzian Data
Complexity of Finite-Sum Optimization with Nonsmooth Composite Functions and Non-Lipschitz Regularization
The Homotopy Principle and Algorithms for Linear Programming
Iteration-Complexity of a Newton Proximal Extragradient Method for Monotone Variational Inequalities and Inclusion Problems
Local and Superlinear Convergence for Partially Known Quasi-Newton Methods
Tight Second Stage Formulations in Two-Stage Stochastic Mixed Integer Programs
Risk Aversion via Excess Probabilities in Stochastic Programs with Mixed-Integer Recourse
Newton-like Inertial Dynamics and Proximal Algorithms Governed by Maximally Monotone Operators
OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions
Tame Nonsmooth Inverse Mapping Theorems
The Slater Conundrum: Duality and Pricing in Infinite-Dimensional Optimization
A Decomposition Algorithm for Nested Resource Allocation Problems
Efficient Techniques for Shape Optimization with Variational Inequalities Using Adjoints
Further Development in Convex Conic Reformulation of Geometric Nonconvex Conic Optimization Problems
Buffered Probability of Exceedance: Mathematical Properties and Optimization
On Regularization and Active-set Methods with Complexity for Constrained Optimization
A New Class of Functions for Measuring Solution Integrality in the Feasibility Pump Approach
Generalized Penalty and Regularization Method for Differential Variational-Hemivariational Inequalities
Linear Structure of Functions with Maximal Clarke Subdifferential
Polynomial Norms
Extreme Points of Sets of Randomized Strategies in Constrained Optimization and Control Problems
Efficient Algorithms for Distributionally Robust Stochastic Optimization with Discrete Scenario Support
A Global Optimization Algorithm for Concave Quadratic Programming Problems
On the Oracle Complexity of First-Order and Derivative-Free Algorithms for Smooth Nonconvex Minimization
Singularity Degree of the Positive Semidefinite Matrix Completion Problem
Alternating Structure-Adapted Proximal Gradient Descent for Nonconvex Nonsmooth Block-Regularized Problems
Tensor Methods for Minimizing Convex Functions with Hölder Continuous Higher-Order Derivatives
Minimizing the Condition Number to Construct Design Points for Polynomial Regression Models
Regularized Newton Method with Global \({\boldsymbol{\mathcal{O}(1/{k}^2)}}\) Convergence
Interior Point Methods Can Exploit Structure of Convex Piecewise Linear Functions with Application in Radiation Therapy
Weak Sharp Minima for Convex Infinite Optimization Problems in Normed Linear Spaces
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
Feasible Corrector-Predictor Interior-Point Algorithm for P * (κ)-Linear Complementarity Problems Based on a New Search Direction
Partial-Update Newton Methods for Unary, Factorable, and Partially Separable Optimization
Conic Geometric Optimization on the Manifold of Positive Definite Matrices
Exponentially Accurate Temporal Decomposition for Long-Horizon Linear-Quadratic Dynamic Optimization
An SQP Method for Equality Constrained Optimization on Hilbert Manifolds
On the Superlinear and Quadratic Convergence of Primal-Dual Interior Point Linear Programming Algorithms
Iterative Minimization Schemes for Solving the Single Source Localization Problem
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems
Reduced Storage, Quasi-Newton Trust Region Approaches to Function Optimization
Subset Selection in Sparse Matrices
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Tree Approximations of Dynamic Stochastic Programs
The Molecule Problem: Exploiting Structure in Global Optimization
Generic Properties for Semialgebraic Programs
Exact Algorithms for Linear Matrix Inequalities
Error Bounds for Convex Polynomials
Perturbation Analysis of Metric Subregularity for Multifunctions
Exact Formula for the Second-Order Tangent Set of the Second-Order Cone Complementarity Set
New Methods for Parametric Optimization via Differential Equations
An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
Minimum Spanning Trees in Infinite Graphs: Theory and Algorithms
Unified Analysis of Kernel-Based Interior-Point Methods for P *(Kappa) -Linear Complementarity Problems
Convergence of the Restricted Nelder-Mead Algorithm in Two Dimensions
Optimal Convergence Rates for the Proximal Bundle Method
Iteration Complexity of a Block Coordinate Gradient Descent Method for Convex Optimization
An Optimal Algorithm for Constrained Differentiable Convex Optimization
Optimization on the Euclidean Unit Sphere
Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework
An Interior-Point Algorithm for Linearly Constrained Optimization
Alternative Theorems for Quadratic Inequality Systems and Global Quadratic Optimization
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm
Single Machine Scheduling to Minimize Batch Delivery and Job Earliness Penalties
Commutation Principle for Variational Problems on Euclidean Jordan Algebras
A Globally Convergent Linearly Constrained Lagrangian Method for Nonlinear Optimization
An Efficient Implementation of Merrill's Method for Sparse or Partially Separable Systems of Nonlinear Equations
Convergence of Regularized Time-Stepping Methods for Differential Variational Inequalities
On Eigenvalue Optimization
Bregman Proximal Point Algorithm Revisited: A New Inexact Version and Its Inertial Variant
Linear-Time Convexity Test for Low-Order Piecewise Polynomials
An Efficient Approximate Algorithm for the 1-Median Problem in Metric Spaces
A Path-Based Approach to Constrained Sparse Optimization
Positive Polynomials and Projections of Spectrahedra
Convergence Properties of an Objective-Function-Free Optimization Regularization Algorithm, Including an \(\boldsymbol{\mathcal{O}(\epsilon^{-3/2})}\) Complexity Bound
Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets
A Disjunctive Cutting Plane Algorithm for Bilinear Programming
Sharp Estimates for Hoffman's Constant for Systems of Linear Inequalities and Equalities
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations
Dynamic Control of Infeasibility in Equality Constrained Optimization
A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
Coercive Polynomials and Their Newton Polytopes
Stability Analysis for Nonlinear Optimal Control Problems Subject to State Constraints
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
A Regularized Newton Method for \({\boldsymbol{\ell}}_{q}\) -Norm Composite Optimization Problems
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming
General Feasibility Bounds for Sample Average Approximation via Vapnik-Chervonenkis Dimension
Understanding the Geometry of Infeasible Perturbations of a Conic Linear System
Quadratic Convex Reformulations for Semicontinuous Quadratic Programming
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
On the Behavior of Broyden's Class of Quasi-Newton Methods
Metric Subregularity and Constraint Qualifications for Convex Generalized Equations in Banach Spaces
Newton's Method for a Class of Weakly Singular Optimal Control Problems
Applying a Newton Method to Strictly Convex Separable Network Quadratic Programs
Foundations of Gauge and Perspective Duality
Bounds and Approximations for Multistage Stochastic Programs
Fundamental Domains for Symmetric Optimization: Construction and Search
Counterexample to a Conjecture on an Infeasible Interior-Point Method
A New Class of Alternating Proximal Minimization Algorithms with Costs-to-Move
Gradient-Based Solution Algorithms for a Class of Bilevel Optimization and Optimal Control Problems with a Nonsmooth Lower Level
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow
A Fast Heuristic Method for Polynomial Moment Problems with Boltzmann-Shannon Entropy
Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
On the Complexity of Inverse Mixed Integer Linear Optimization
On the Stability of the Extreme Point Set in Linear Optimization
A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints
Bounds for Random Binary Quadratic Programs
Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational Coefficients
Centerpoints: A Link between Optimization and Convex Geometry
Global Convergence of an Elastic Mode Approach for a Class of Mathematical Programs with Complementarity Constraints
First-order Methods for the Impatient: Support Identification in Finite Time with Convergent Frank-Wolfe Variants
Optimality of Nested Partitions and Its Application to Cluster Analysis
The Semiconvex Regularization of Functions
A Globally Convergent Probability-One Homotopy for Linear Programs with Linear Complementarity Constraints
On Obtaining the Convex Hull of Quadratic Inequalities via Aggregations
A Parallel Method for Unconstrained Discrete-Time Optimal Control Problems
TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity
Finding Efficient Solutions by Free Disposal Outer Approximation
On Lipschitzian Properties of Implicit Multifunctions
Piecewise-quadratic Approximations in Convex Numerical Optimization
Accelerated Methods for NonConvex Optimization
Vector Asymptotic Functions and Their Application to Multiobjective Optimization Problems
A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization
Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies
Constrained Consensus-Based Optimization
Hölder Stable Minimizers, Tilt Stability, and Hölder metric Regularity of Subdifferentials
Sequential Quadratic Programming with Penalization of the Displacement
From Empirical Observations to Tree Models for Stochastic Optimization: Convergence Properties
Surrogate Projection Methods for Finding Fixed Points of Firmly Nonexpansive Mappings
Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization
Sample Average Approximation for Stochastic Programming with Equality Constraints
Subdifferential Conditions for Calmness of Convex Constraints
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
Guaranteed Bounds for General Nondiscrete Multistage Risk-Averse Stochastic Optimization Programs
Simple and Optimal Methods for Stochastic Variational Inequalities, II: Markovian Noise and Policy Evaluation in Reinforcement Learning
Distributionally Robust Optimization with Principal Component Analysis
Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems
Lagrangian Duality and Related Multiplier Methods for Variational Inequality Problems
A Stochastic Line Search Method with Expected Complexity Analysis
Generalized Lexicographic MultiObjective Combinatorial Optimization. Application to Cryptography
A New Scalarization Technique and New Algorithms to Generate Pareto Fronts
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization