Siam Journal On Optimization

Siam Journal On Optimization

暹罗优化杂志

  • 1区 中科院分区
  • Q1 JCR分区

高引用文章

文章名称 引用次数
ACCELERATED METHODS FOR NONCONVEX OPTIMIZATION 19
CONVERGENCE RATES OF INERTIAL FORWARD-BACKWARD ALGORITHMS 17
STOCHASTIC PRIMAL-DUAL HYBRID GRADIENT ALGORITHM WITH ARBITRARY SAMPLING AND IMAGING APPLICATIONS 16
A HIGHLY EFFICIENT SEMISMOOTH NEWTON AUGMENTED LAGRANGIAN METHOD FOR SOLVING LASSO PROBLEMS 14
RELATIVELY SMOOTH CONVEX OPTIMIZATION BY FIRST-ORDER METHODS, AND APPLICATIONS 11
ON DETERMINISTIC REFORMULATIONS OF DISTRIBUTIONALLY ROBUST JOINT CHANCE CONSTRAINED OPTIMIZATION PROBLEMS 10
AMBIGUOUS CHANCE-CONSTRAINED BINARY PROGRAMS UNDER MEAN-COVARIANCE INFORMATION 10
A FIRST-ORDER PRIMAL-DUAL ALGORITHM WITH LINESEARCH 10
ACCELERATING THE BENDERS DECOMPOSITION METHOD: APPLICATION TO STOCHASTIC NETWORK DESIGN PROBLEMS 10
ON REPRESENTER THEOREMS AND CONVEX REGULARIZATION 9
COMPOSITE DIFFERENCE-MAX PROGRAMS FOR MODERN STATISTICAL ESTIMATION PROBLEMS 9
A SEQUENTIAL ALGORITHM FOR SOLVING NONLINEAR OPTIMIZATION PROBLEMS WITH CHANCE CONSTRAINTS 9
IQN: AN INCREMENTAL QUASI-NEWTON METHOD WITH LOCAL SUPERLINEAR CONVERGENCE RATE 9
OPTIMIZATION UNDER DECISION-DEPENDENT UNCERTAINTY 9
DOUBLE BUNDLE METHOD FOR FINDING CLARKE STATIONARY POINTS IN NONSMOOTH DC PROGRAMMING 9
UNIVERSAL REGULARIZATION METHODS: VARYING THE POWER, THE SMOOTHNESS AND THE ACCURACY 9
FIRST ORDER METHODS BEYOND CONVEXITY AND LIPSCHITZ GRADIENT CONTINUITY WITH APPLICATIONS TO QUADRATIC INVERSE PROBLEMS 9
SURPASSING GRADIENT DESCENT PROVABLY: A CYCLIC INCREMENTAL METHOD WITH LINEAR CONVERGENCE RATE 8
CONVERGENCE ANALYSIS OF SAMPLE AVERAGE APPROXIMATION OF TWO-STAGE STOCHASTIC GENERALIZED EQUATIONS 8
ANALYSIS OF OPTIMIZATION ALGORITHMS VIA INTEGRAL QUADRATIC CONSTRAINTS: NONSTRONGLY CONVEX PROBLEMS 8
A RIEMANNIAN BFGS METHOD WITHOUT DIFFERENTIATED RETRACTION FOR NONCONVEX OPTIMIZATION PROBLEMS 7
ADAPTIVE SAMPLING STRATEGIES FOR STOCHASTIC OPTIMIZATION 7
GENERALIZING THE OPTIMIZED GRADIENT METHOD FOR SMOOTH CONVEX MINIMIZATION 7
ANOTHER LOOK AT THE FAST ITERATIVE SHRINKAGE/THRESHOLDING ALGORITHM (FISTA) 7
A TWO-PHASE GRADIENT METHOD FOR QUADRATIC PROGRAMMING PROBLEMS WITH A SINGLE LINEAR CONSTRAINT AND BOUNDS ON THE VARIABLES 7
FORWARD-BACKWARD-HALF FORWARD ALGORITHM FOR SOLVING MONOTONE INCLUSIONS 7
FAST PROXIMAL METHODS VIA TIME SCALING OF DAMPED INERTIAL DYNAMICS 7
COMBINING PROGRESSIVE HEDGING WITH A FRANK-WOLFE METHOD TO COMPUTE LAGRANGIAN DUAL BOUNDS IN STOCHASTIC MIXED-INTEGER PROGRAMMING 6
ACCELERATED REGULARIZED NEWTON METHODS FOR MINIMIZING COMPOSITE CONVEX FUNCTIONS 6
STOCHASTIC MODEL-BASED MINIMIZATION OF WEAKLY CONVEX FUNCTIONS 6
AN OPTIMAL FIRST ORDER METHOD BASED ON OPTIMAL QUADRATIC AVERAGING 6
A NEW FIRST-ORDER ALGORITHMIC FRAMEWORK FOR OPTIMIZATION PROBLEMS WITH ORTHOGONALITY CONSTRAINTS 6
FORWARD-BACKWARD ENVELOPE FOR THE SUM OF TWO NONCONVEX FUNCTIONS: FURTHER PROPERTIES AND NONMONOTONE LINESEARCH ALGORITHMS 6
PROXIMAL MAPPING FOR SYMMETRIC PENALTY AND SPARSITY 6
MINIMIZATION BASED FORMULATIONS OF INVERSE PROBLEMS AND THEIR REGULARIZATION 6
NEAR-OPTIMAL BOUNDS FOR PHASE SYNCHRONIZATION 6
STOCHASTIC METHODS FOR COMPOSITE AND WEAKLY CONVEX OPTIMIZATION PROBLEMS 5
NONLINEAR CONJUGATE GRADIENT METHODS FOR VECTOR OPTIMIZATION 5
LINE SEARCH ALGORITHMS FOR LOCALLY LIPSCHITZ FUNCTIONS ON RIEMANNIAN MANIFOLDS 5
OPTIMAL CONVERGENCE RATES FOR NESTEROV ACCELERATION 5
QUASI-VARIATIONAL INEQUALITIES IN BANACH SPACES: THEORY AND AUGMENTED LAGRANGIAN METHOD 5
THE PROXIMAL POINT METHOD FOR LOCALLY LIPSCHITZ FUNCTIONS IN MULTIOBJECTIVE OPTIMIZATION WITH APPLICATION TO THE COMPROMISE PROBLEM 5
GLOBAL CONVERGENCE RATE OF PROXIMAL INCREMENTAL AGGREGATED GRADIENT METHODS 5
ON REGULARIZATION AND ACTIVE-SET METHODS WITH COMPLEXITY FOR CONSTRAINED OPTIMIZATION 5
COMPLEXITY ANALYSIS OF SECOND-ORDER LINE-SEARCH ALGORITHMS FOR SMOOTH NONCONVEX OPTIMIZATION 5
ON EFFICIENTLY SOLVING THE SUBPROBLEMS OF A LEVEL-SET METHOD FOR FUSED LASSO PROBLEMS 5
DERIVATIVE-FREE OPTIMIZATION OF NOISY FUNCTIONS VIA QUASI-NEWTON METHODS 5
THE MESH ADAPTIVE DIRECT SEARCH ALGORITHM FOR GRANULAR AND DISCRETE VARIABLES 5
PROXIMALLY GUIDED STOCHASTIC SUBGRADIENT METHOD FOR NONSMOOTH, NONCONVEX PROBLEMS 5
A SMOOTH PRIMAL-DUAL OPTIMIZATION FRAMEWORK FOR NONSMOOTH COMPOSITE CONVEX MINIMIZATION 5