yusuke1997/dblp-id-title huggingface dataset:
Nonlinear Lagrangian for Multiobjective Optimization and Applications to Duality and Exact Penalization
Primal-Dual Interior-Point Methods for Self-Scaled Cones
Geometric Duality in Multiple Objective Linear Programming
Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization
A Nonsmooth Newton Method with Path Search and Its Use in Solving C 1, 1 Programs and Semi-Infinite Problems
Inexact Cuts in Stochastic Dual Dynamic Programming Applied to Multistage Stochastic Nondifferentiable Problems
Approximation Schemes for Infinite Linear Programs
Pattern Search Methods for Linearly Constrained Minimization
Complete Characterizations of Global Optimality for Problems Involving the Pointwise Minimum of Sublinear Functions
On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
A New Matrix-Free Algorithm for the Large-Scale Trust-Region Subproblem
Adaptive Douglas-Rachford Splitting Algorithm for the Sum of Two Operators
Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence
Approximating K-means-type Clustering via Semidefinite Programming
Regular Sequences of Quasi-Nonexpansive Operators and Their Applications
A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems
Condition-Based Complexity of Convex Optimization in Conic Linear Form via the Ellipsoid Algorithm
Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems
Indefinite Trust Region Subproblems and Nonsymmetric Eigenvalue Perturbations
Operator Preconditioning for a Class of Inequality Constrained Optimal Control Problems
Error Bounds for Some Convex Functions and Distance Composite Functions
On the Bredies-Chenchene-Lorenz-Naldi Algorithm: Linear Relations and Strong Convergence
The Proximal Point Method for Locally Lipschitz Functions in Multiobjective Optimization with Application to the Compromise Problem
Graph Topology Invariant Gradient and Sampling Complexity for Decentralized and Stochastic Optimization
Symmetry Reduction in AM/GM-Based Optimization
Dual Certificates and Efficient Rational Sum-of-Squares Decompositions for Polynomial Optimization over Compact Sets
The Complexity of Positive Semidefinite Matrix Factorization
Characterizing FJ and KKT Conditions in Nonconvex Mathematical Programming with Applications
A Homotopy-Based Algorithm for Mixed Complementarity Problems
Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications
Constraint Qualifications for Semi-Infinite Systems of Convex Inequalities
On Convergence of the Maximum Block Improvement Method
A Proximal-Gradient Method for Equality Constrained Optimization
Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
Probabilistic Algorithm for Polynomial Optimization over a Real Algebraic Set
Polar Convolution
Risk-Averse Optimization in Two-Stage Stochastic Models: Computational Aspects and a Study
Adjusted Sublevel Sets, Normal Operator, and Quasi-convex Programming
Abstract Convexity and Augmented Lagrangians
Global Optimality Conditions and their Geometric Interpretation for the Chemical and Phase Equilibrium Problem
Convex Geometry of the Generalized Matrix-Fractional Function
An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization
Corrigendum: On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles
Second-Order Variational Analysis in Conic Programming with Applications to Optimality and Stability
Spectrahedral Regression
Nonasymptotic Upper Estimates for Errors of the Sample Average Approximation Method to Solve Risk-Averse Stochastic Programs
A Sequential Method for a Class of Stable Mathematical Programming Problems
A Chain Rule for Essentially Smooth Lipschitz Functions
Acceleration of Univariate Global Optimization Algorithms Working with Lipschitz Functions and Lipschitz First Derivatives
Knowledge-Based Linear Programming
Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality
Convergence of Approximate and Incremental Subgradient Methods for Convex Optimization
From the Farkas Lemma to the Hahn-Banach Theorem
Simulated Annealing With An Optimal Fixed Temperature
Exact Quantization of Multistage Stochastic Linear Problems
A Squared Smoothing Newton Method for Nonsmooth Matrix Equations and Its Applications in Semidefinite Optimization Problems
On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems
Parallel Decomposition: Results for Staircase Linear Programs
Convergence Properties of a Class of Rank-two Updates
Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems
Efficient First Order Method for Saddle Point Problems with Higher Order Smoothness
Global Convergence Properties of Conjugate Gradient Methods for Optimization
Optimization of Quasi-convex Function over Product Measure Sets
Asymptotic Results of Stochastic Decomposition for Two-Stage Stochastic Quadratic Programming
Closing the Gap between Necessary and Sufficient Conditions for Local Nonglobal Minimizer of Trust Region Subproblem
Farkas-Type Results With Conjugate Functions
Some Sufficient Optimality Conditions in Nonsmooth Analysis
A Class of Trust Region Methods for Nonlinear Network Optimization Problems
Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization
An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming
Variational Convexity of Functions and Variational Sufficiency in Optimization
Risk Trading and Endogenous Probabilities in Investment Equilibria
Optimality Conditions for Disjunctive Programs Based on Generalized Differentiation with Application to Mathematical Programs with Equilibrium Constraints
An Interior Point Constrained Trust Region Method for a Special Class of Nonlinear Semidefinite Programming Problems
A Bundle Trust Region Algorithm for Minimizing Locally Lipschitz Functions
A "Joint+Marginal" Approach to Parametric Polynomial Optimization
An Approximation Scheme for Distributionally Robust Nonlinear Optimization
Exposed Faces of Semidefinitely Representable Sets
Analysis of a Symmetric Rank-One Trust Region Method
The Stochastic Conjugate Subgradient Algorithm for Kernel Support Vector Machines
Relative Optimality Conditions and Algorithms for Treespace Fréchet Means
A Cutting Plane Approach to the Sequential Ordering Problem (with Applications to Job Scheduling in Manufacturing)
Perturbation Analysis of Error Bounds for Quasi-subsmooth Inequalities and Semi-infinite Constraint Systems
Pareto Subdifferential Calculus for Convex Vector Mappings and Applications to Vector Optimization
Finitely Convergent Decomposition Algorithms for Two-Stage Stochastic Pure Integer Programs
Affine Invariant Convergence Rates of the Conditional Gradient Method
A Study of General Dynamic Network Programs with Arc Time-Delays
Characterizations of Local and Global Error Bounds for Convex Inequalities in Banach Spaces
A Cone-Continuity Constraint Qualification and Algorithmic Consequences
L p -norm Regularization Algorithms for Optimization Over Permutation Matrices
On the Impact of Automatic Differentiation on the Relative Performance of Parallel Truncated Newton and Variable Metric Algorithms
Erratum: Weak Sharp Solutions of Variational Inequalities
Remarks on Convergence of the Matrix Splitting Algorithm for the Symmetric Linear Complementarity Problem
Computing Medians and Means in Hadamard Spaces
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence
Maximum Cardinality Simple 2-matchings in Subcubic Graphs
Proximal Methods in Vector Optimization
A Decomposition Method Based on SQP for a Class of Multistage Stochastic Nonlinear Programs
Faster Simulated Annealing
Pathological Subgradient Dynamics
Quantitative Stability Analysis for Distributionally Robust Optimization with Moment Constraints
Causal Transport in Discrete Time and Applications
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
On the Convergence of Stochastic Primal-Dual Hybrid Gradient
Error Bounds and Singularity Degree in Semidefinite Programming
Trust-Region Methods Without Using Derivatives: Worst Case Complexity and the NonSmooth Case
Combinatorial and Continuous Models for the Optimization of Traffic Flows on Networks
A Projection-Based Algorithm for Consistent and Inconsistent Constraints
Nonconvex Games with Side Constraints
Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations
Structured Linear Least-Squares Problems in System Identification and Separable Nonlinear Data Fitting
A SQP-Semismooth Newton-type Algorithm applied to Control of the instationary Navier--Stokes System Subject to Control Constraints
Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization
Outer Semicontinuity of Positive Hull Mappings with Application to Semi-Infinite and Stochastic Programming
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
Attouch-Théra Duality, Generalized Cycles, and Gap Vectors
Risk-Averse Models in Bilevel Stochastic Linear Programming
An Auction Algorithm for Shortest Paths
A Second-Order Cone Based Approach for Solving the Trust-Region Subproblem and Its Variants
Lower Semicontinuous Convex Relaxation in Optimization
On VU-theory for Functions with Primal-Dual Gradient Structure
Structural Investigation of Piecewise Linearized Network Flow Problems
Cut Size Statistics of Graph Bisection Heuristics
The Primal-Dual Active Set Strategy as a Semismooth Newton Method
Decentralized Gradient Descent Maximization Method for Composite Nonconvex Strongly-Concave Minimax Problems
Subdifferentially Polynomially Bounded Functions and Gaussian Smoothing-Based Zeroth-Order Optimization
Direct Search Based on Probabilistic Descent in Reduced Spaces
Semidefinite Relaxation Bounds for Indefinite Homogeneous Quadratic Optimization
A Nonmonotone Filter SQP Method: Local Convergence and Numerical Results
Linearly Constrained Nonsmooth and Nonconvex Minimization
A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
PCA Sparsified
On Stable Feasible Sets in Generalized Semi-infinite Programming
Regularization Methods for Semidefinite Programming
Regularity on a Fixed Set
A Parallel Bundle Framework for Asynchronous Subspace Optimization of Nonsmooth Convex Functions
Projected Sequential Quadratic Programming Methods
The Stochastic Auxiliary Problem Principle in Banach Spaces: Measurability and Convergence
A Generalized Convexity and Variational Inequality for Quasi-Convex Minimization
Tensor Methods for Equality Constrained Optimization
Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization
Automatic Preconditioning by Limited Memory Quasi-Newton Updating
Optimal Data Fitting: A Moment Approach
On the Implementation of a Primal-Dual Interior Point Method
A Matrix Positivstellensatz with Lifting Polynomials
Approximate Max-Min Resource Sharing for Structured Concave Optimization
Linear Matrix Inequalities with Stochastically Dependent Perturbations and Applications to Chance-Constrained Semidefinite Optimization
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold
On the Distance between Two Ellipsoids
Computing Points that Satisfy Second Order Necessary Optimality Conditions for Unconstrained Minimization
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
The Geometry of Sparse Analysis Regularization
Perturbation Analysis for KKT Point Sets of Constrained Optimization Problems
Stability and Well-Posedness in Linear Semi-Infinite Programming
A Superlinear Infeasible-Interior-Point Affine Scaling Algorithm for LCP
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization
Superlinear Convergence and Implicit Filtering
Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods
Global Optimization of Mixed-Integer ODE Constrained Network Problems Using the Example of Stationary Gas Transport
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results
Inexact Variants of the Proximal Point Algorithm without Monotonicity
An Inverse-Adjusted Best Response Algorithm for Nash Equilibria
Fitzpatrick Functions and Continuous Linear Monotone Operators
Subgradient Sampling for Nonsmooth Nonconvex Minimization
Convergence Rates of Inertial Forward-Backward Algorithms
Robust Stochastic Approximation Approach to Stochastic Programming
On Implementing Mehrotra's Predictor-Corrector Interior-Point Method for Linear Programming
A Unified View of Exact Continuous Penalties for ℓ 2 -ℓ 0 Minimization
Optimality Measures for Performance Profiles
Minimum Average Value-at-Risk for Finite Horizon Semi-Markov Decision Processes in Continuous Time
Complexity of a Quadratic Penalty Accelerated Inexact Proximal Point Method for Solving Linearly Constrained Nonconvex Composite Programs
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models
A Superlinearly Convergent Primal-Dual Infeasible-Interior-Point Algorithm for Semidefinite Programming
First-Order Algorithms for a Class of Fractional Optimization Problems
Moreau-Rockafellar-Type Formulas for the Subdifferential of the Supremum Function
Generic Minimizing Behavior in Semialgebraic Optimization
Global Convergence of Splitting Methods for Nonconvex Composite Optimization
A Primal-Dual Algorithm for Solving Polyhedral Conic Systems with a Finite-Precision Machine
Optimal Methods for Convex Risk-Averse Distributed Optimization
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization
MG/OPT and Multilevel Monte Carlo for Robust Optimization of PDEs
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality
Limited-Memory Reduced-Hessian Methods for Large-Scale Unconstrained Optimization
Polynomial Convergence of Primal-Dual Algorithms for Semidefinite Programming Based on the Monteiro and Zhang Family of Directions
New Constraint Qualifications for Optimization Problems in Banach Spaces Based on Asymptotic KKT Conditions
Iterated Chvátal-Gomory Cuts and the Geometry of Numbers
Solving Coupled Composite Monotone Inclusions by Successive Fejér Approximations of their Kuhn-Tucker Set
Occupation Measure Relaxations in Variational Problems: The Role of Convexity
Noisy Euclidean Distance Realization: Robust Facial Reduction and the Pareto Frontier
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization
A Dynamic Programming Approach for a Class of Robust Optimization Problems
Nonlinear Forward-Backward Splitting with Projection Correction
A Derivative-Free Approach to Constrained Multiobjective Nonsmooth Optimization
A Globally Convergent Filter Method for Nonlinear Programming
On Accelerated Random Search
An Exact Penalty Method for Nonconvex Problems Covering, in Particular, Nonlinear Programming, Semidefinite Programming, and Second-Order Cone Programming
Erratum: Global Convergence of a Nonsmooth Newton Method for Control-State Constrained Optimal Control Problems
Practical Update Criteria for Reduced Hessian SQP: Global Analysis
On the Complexity of a Practical Interior-Point Method
On the Convergence of the Products of Firmly Nonexpansive Mappings
Constant Factor Lasserre Integrality Gaps for Graph Partitioning Problems
Computational Experience with Stable Set Relaxations
A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization
A Branch-and-Bound-Based Algorithm for Nonconvex Multiobjective Optimization
Global Convergence Properties of Some Iterative Methods for Linear Complementarity Problems
On the Convergence of Asynchronous Parallel Pattern Search
The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
Stochastic Optimization under Hidden Convexity
Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification
Gradient Convergence in Gradient methods with Errors
A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems
Strong Rotundity and Optimization
A Gradient Sampling Method on Algebraic Varieties and Application to Nonsmooth Low-Rank Optimization
Data Parallel Quadratic Programming on Box-Constrained Problems
Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization
An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions
Convergence of ZH-Type Nonmonotone Descent Method for Kurdyka-Łojasiewicz Optimization Problems
A Conjugate Duality Scheme Generating a New Class of Differentiable Duals
Global Linear and Local Quadratic Convergence of a Long-Step Adaptive-Mode Interior Point Method for Some Monotone Variational Inequality Problems
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
A New Sequential Optimality Condition for Constrained Optimization and Algorithmic Consequences
Bayesian Optimization with Expensive Integrands
An Interior Point Column Generation Method for Linear Programming Using Shifted Barriers
Generalized Levitin--Polyak Well-Posedness in Constrained Optimization
Partial Smoothness, Tilt Stability, and Generalized Hessians
Variational and Strong Variational Convexity in Infinite-Dimensional Variational Analysis
Regularized Equilibrium Problems with Equilibrium Constraints with Application to Energy Markets
An Exact Algorithmic Framework for a Class of Mixed-Integer Programs with Equilibrium Constraints
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
A General Primal-Dual Envelope Method for Convex Programming Problems
Solving Moment and Polynomial Optimization Problems on Sobolev Spaces
Lower Bounds on the Lattice-Free Rank for Packing and Covering Integer Programs
Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality
Time Consistency for Multistage Stochastic Optimization Problems under Constraints in Expectation
A Class of Indefinite Dogleg Path Methods for Unconstrained Minimization
A Linesearch Procedure in Barrier Methods for Some Convex Programming Problems
Understanding the Influence of Digraphs on Decentralized Optimization: Effective Metrics, Lower Bound, and Optimal Algorithm
Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization
A Note on Polynomial Solvability of the CDT Problem
Strong Duality in Cone Constrained Nonconvex Optimization
Uniform Boundedness of a Preconditioned Normal Matrix Used in Interior-Point Methods
On the Fine-Grain Decomposition of Multicommodity Transportation Problems
Beyond the Fermat Optimality Rules
A Level-Set Method for Convex Optimization with a Feasible Solution Path
Continuation Methods for Riemannian Optimization
Duality in Countably Infinite Monotropic Programs
Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks
Securing IoT communication: a module-LWE key exchange protocol with efficient error reconciliation technique
Deep learning models for asphalt material behavior analysis under smart city IoT infrastructures
Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance
"Chatty Devices" and edge-based activity classification
A low-cost IoT-based smart home automation system for urban sustainability in Mogadishu, Somalia
A novel end-to-end privacy preserving deep Aquila feed forward networks on healthcare 4.0 environment
UAV based smart grazing: a prototype of space-air-ground integrated grazing IoT networks in Qinghai-Tibet plateau
Design and analysis of antenna through machine learning for next-generation IoT system
New energy vehicle fast charging reservation algorithm based on internet of things coordination
IoT-driven ensemble machine learning model for accurate dissolved oxygen prediction in aquaculture
Development of IoT-enabled solutions for renewable energy generation and net-metering control for efficient smart home
Innovative image interpolation based reversible data hiding for secure communication
Optimization of distributed network intrusion detection system based on internet of things and federated learning
The internet of battle things: a survey on communication challenges and recent solutions
Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems
Enhancing the e-commerce shopping experience with IoT-enabled smart carts in smart stores
Uncertainty propagation in the internet of things
Use of IoT sensor devices for efficient management of healthcare systems: a review
Integrating emotional AI, IoT, and robotics for patient-centered healthcare: challenges and future directions
IELTSoC: enhanced image encryption using combined logistic and Tinkerbell maps with second order cellular automata for internet of things
Geo blockchain intelligence risk assessment for extreme weather prediction in the era of internet of spatial big data computing
Machine learning-based intelligent localization technique for channel classification in massive MIMO
Internet of things applications for advancing sustainable development goals in Indonesia
Privacy-preserving federated learning approach based on Hensel's compression and differential privacy
Internet of things (IoT)-based on real-time and remote boiler fuel monitoring system: a case of Raha Beverages Company Limited, Arusha-Tanzania
Deep convolutional generative adversarial networks: performance analysis in wireless systems
StyleGAN based path analysis from image to video generation in multimedia generation
Development of an intelligent intrusion detection system for IoT networks using deep learning
Enhancing IoT intrusion detection through machine learning with AN-SFS: a novel approach to high performing adaptive feature selection
Industrial IoT-based submetering solution for real-time energy monitoring
Safeguarding federated learning models in intelligent internet of medical things against data poisoning attacks
A new intelligent scheduler to improve reactive OpenFlow communication in SDN-based IoT data streams
Multi-constraint smart UAV healthcare transportation path using imperial competition algorithm for smart cities
An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications
A systematic review on lightweight security algorithms for a sustainable IoT infrastructure
A narrative review of power allocation strategies and successive interference cancellation enhancement in NOMA based 5G and future wireless networks
Reliable and secure memristor-based chaotic communication against eavesdroppers and untrusted foundries
Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy
An interpolation-based reversible data hiding scheme for internet of things applications
IoT and radio telemetry based wireless engine control and real-time position tracking system for an agricultural tractor
Energy optimization using adaptive control algorithm to enhance the performance of SDN_IOT environment
Battery-aware super-peer and fountain coding in Java P2P systems
Social behavior prediction with graph U-Net+
Role of big data analysis to improve the efficiency of healthcare system using machine learning techniques
A novel fiestal structured chromatic series-based data security approach
A strawberry yield prediction scheme suitable for non-parametric regression using general-purpose IoT nodes
Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP
AI-driven 5G network optimization for immersive educational VR/AR applications in mobile learning environments