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ORCIDSIAM Journal on Optimization, Volume 33
Volume 33, Number 1, March 2023
- Qihang Lin
, Yangyang Xu:
Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method. 1-35 - Xiaoyan Han, Adrian S. Lewis:
Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization. 36-62 - Victor Magron, Mohab Safey El Din, Trung Hieu Vu:
Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational Coefficients. 63-88 - Felipe Atenas, Claudia A. Sagastizábal, Paulo J. S. Silva, Mikhail V. Solodov:
A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods. 89-115 - Çagin Ararat, Simay Tekgül, Firdevs Ulus:
Geometric Duality Results and Approximation Algorithms for Convex Vector Optimization Problems. 116-146 - Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. 147-180 - Weiwei Kong, Jefferson G. Melo, Renato D. C. Monteiro:
Iteration Complexity of an Inner Accelerated Inexact Proximal Augmented Lagrangian Method Based on the Classical Lagrangian Function. 181-210 - Giacomo Borghi, Michael Herty, Lorenzo Pareschi:
Constrained Consensus-Based Optimization. 211-236 - Harbir Antil, Drew P. Kouri, Denis Ridzal:
ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints. 237-266 - Mengmeng Song, Hongying Liu, Jiulin Wang, Yong Xia:
On Local Minimizers of Nonconvex Homogeneous Quadratically Constrained Quadratic Optimization with at Most Two Constraints. 267-293 - Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. 294-318 - Najmeh Hoseini Monjezi:
A Bundle Trust Region Algorithm for Minimizing Locally Lipschitz Functions. 319-337 - Xi Yin Zheng:
Convex Optimization Problems on Differentiable Sets. 338-359
Volume 33, Number 2, June 2023
- Radu Ioan Bot, Minh N. Dao, Guoyin Li:
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems. 361-393 - Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. 394-423 - Mateo Díaz, Benjamin Grimmer:
Optimal Convergence Rates for the Proximal Bundle Method. 424-454 - Simone Garatti, Marco C. Campi:
On Conditional Risk Assessments in Scenario Optimization. 455-480 - Alexander Chernyavsky, Jason J. Bramburger, Giovanni Fantuzzi, David Goluskin:
Convex Relaxations of Integral Variational Problems: Pointwise Dual Relaxation and Sum-of-Squares Optimization. 481-512 - Felix Kirschner, Etienne de Klerk:
Construction of Multivariate Polynomial Approximation Kernels via Semidefinite Programming. 513-537 - Christoph Hunkenschröder, Sebastian Pokutta, Robert Weismantel:
Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube. 538-552 - Eliza O'Reilly, Venkat Chandrasekaran:
Spectrahedral Regression. 553-588 - Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan:
Discrete Optimal Transport with Independent Marginals is #P-Hard. 589-614 - Darinka Dentcheva, Andrzej Ruszczynski:
Mini-Batch Risk Forms. 615-637 - Yitian Qian, Shaohua Pan:
Convergence of a Class of Nonmonotone Descent Methods for Kurdyka-Łojasiewicz Optimization Problems. 638-651 - Xinwei Zhang, Mingyi Hong, Nicola Elia:
Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective. 652-683 - Peng Wang, Huikang Liu, Anthony Man-Cho So:
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis. 684-712 - Ziang Chen, Yingzhou Li, Jianfeng Lu:
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. 713-738 - Heinz H. Bauschke, Shambhavi Singh, Xianfu Wang:
The Splitting Algorithms by Ryu, by Malitsky-Tam, and by Campoy Applied to Normal Cones of Linear Subspaces Converge Strongly to the Projection onto the Intersection. 739-765 - Duong Thi Viet An, Hong-Kun Xu, Nguyen Dong Yen:
Fréchet Second-Order Subdifferentials of Lagrangian Functions and Optimality Conditions. 766-784 - Bruno Dinis, Pedro Pinto:
Strong Convergence for the Alternating Halpern-Mann Iteration in CAT(0) Spaces. 785-815 - Mingjie Gao, Ka-Fai Cedric Yiu:
Moderate Deviations and Invariance Principles for Sample Average Approximations. 816-841 - Xavier Dupuis, Samuel Vaiter:
The Geometry of Sparse Analysis Regularization. 842-867 - Luca Consolini, Marco Locatelli:
Sharp and Fast Bounds for the Celis-Dennis-Tapia Problem. 868-898 - Jong-Shi Pang, Shaoning Han:
Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables. 899-920 - Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen:
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. 921-949 - Harald Günzel, Daniel Hernández Escobar, Jan-J. Rückmann:
Strongly Stable Stationary Points for a Class of Generalized Equations. 950-977 - Hadi Reisizadeh, Behrouz Touri, Soheil Mohajer:
DIMIX: Diminishing Mixing for Sloppy Agents. 978-1005 - Frank Permenter:
A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones. 1006-1034 - Junyu Zhang, Mengdi Wang, Mingyi Hong, Shuzhong Zhang:
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems. 1035-1060 - Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi:
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. 1061-1091 - Xiao Li, Andre Milzarek, Junwen Qiu:
Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality. 1092-1120 - Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat:
Variational Convexity of Functions and Variational Sufficiency in Optimization. 1121-1158 - Zhaosong Lu, Zirui Zhou:
Iteration-Complexity of First-Order Augmented Lagrangian Methods for Convex Conic Programming. 1159-1190 - Chuan He, Zhaosong Lu:
A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. 1191-1222 - Tobias Harks, Julian Schwarz:
A Unified Framework for Pricing in Nonconvex Resource Allocation Games. 1223-1249 - Alex L. Wang, Yunlei Lu, Fatma Kilinç-Karzan:
Implicit Regularity and Linear Convergence Rates for the Generalized Trust-Region Subproblem. 1250-1278 - Alexander Shapiro, Enlu Zhou, Yifan Lin:
Bayesian Distributionally Robust Optimization. 1279-1304 - Lijun Ding, Benjamin Grimmer:
Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. 1305-1332
Volume 33, Number 3, September 2023
- Xinrong Li, Ziyan Luo:
Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds. 1333-1360 - Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. 1361-1390 - Archis Ghate:
Dual Ascent and Primal-Dual Algorithms for Infinite-Horizon Nonstationary Markov Decision Processes. 1391-1415 - Cédric Josz, Xiaopeng Li:
Certifying the Absence of Spurious Local Minima at Infinity. 1416-1439 - Konstantin Mishchenko:
Regularized Newton Method with Global \({\boldsymbol{\mathcal{O}(1/{k}^2)}}\) Convergence. 1440-1462 - Amir Beck, Israel Rosset:
A Dynamic Smoothing Technique for a Class of Nonsmooth Optimization Problems on Manifolds. 1473-1493 - Edouard Pauwels, Samuel Vaiter:
The Derivatives of Sinkhorn-Knopp Converge. 1494-1517 - Guanghui Lan, Zhe Zhang:
Optimal Methods for Convex Risk-Averse Distributed Optimization. 1518-1557 - Céline Moucer, Adrien B. Taylor, Francis R. Bach:
A Systematic Approach to Lyapunov Analyses of Continuous-Time Models in Convex Optimization. 1558-1586 - Jiawang Nie, Xindong Tang, Suhan Zhong:
Rational Generalized Nash Equilibrium Problems. 1587-1620 - Serge Gratton, Sadok Jerad, Philippe L. Toint:
Convergence Properties of an Objective-Function-Free Optimization Regularization Algorithm, Including an \(\boldsymbol{\mathcal{O}(\epsilon^{-3/2})}\) Complexity Bound. 1621-1646 - Guanghui Lan, Yuyuan Ouyang, Yi Zhou:
Graph Topology Invariant Gradient and Sampling Complexity for Decentralized and Stochastic Optimization. 1647-1675 - Yuqia Wu, Shaohua Pan, Xiaoqi Yang:
A Regularized Newton Method for \({\boldsymbol{\ell}}_{q}\) -Norm Composite Optimization Problems. 1676-1706 - Sebastian Blauth:
Space Mapping for PDE Constrained Shape Optimization. 1707-1733 - Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees. 1734-1766 - Juan Pablo Luna, Claudia A. Sagastizábal, Julia Filiberti Allen, Steven A. Gabriel, Mikhail V. Solodov:
Regularized Equilibrium Problems with Equilibrium Constraints with Application to Energy Markets. 1767-1796 - Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. 1797-1827 - Peng Chen, Johannes O. Royset:
Performance Bounds for PDE-Constrained Optimization under Uncertainty. 1828-1854 - Geovani Nunes Grapiglia, Yurii E. Nesterov:
Adaptive Third-Order Methods for Composite Convex Optimization. 1855-1883 - Radu Ioan Bot, Axel Böhm:
Alternating Proximal-Gradient Steps for (Stochastic) Nonconvex-Concave Minimax Problems. 1884-1913 - Francesco Caruso, Maria Carmela Ceparano, Jacqueline Morgan:
Affine Relaxations of the Best Response Algorithm: Global Convergence in Ratio-Bounded Games. 1914-1942 - Killian Wood, Emiliano Dall'Anese:
Stochastic Saddle Point Problems with Decision-Dependent Distributions. 1943-1967 - Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. 1968-1995 - Jinhua Wang, Chong Li, K. F. Ng:
Convergence Rate of Inexact Proximal Point Algorithms for Operator with Hölder Metric Subregularity. 1996-2020 - Wenfang Yao, Xiaoqi Yang:
Relative Lipschitz-like Property of Parametric Systems via Projectional Coderivatives. 2021-2040 - Benoît Legat, Chenyang Yuan, Pablo A. Parrilo:
Low-Rank Univariate Sum of Squares Has No Spurious Local Minima. 2041-2061 - Simai He, Haodong Hu, Bo Jiang, Zhening Li:
Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual. 2062-2088 - Fatih S. Aktas, Mustafa Ç. Pinar:
PCA Sparsified. 2089-2117 - Guillaume Carlier:
Fenchel-Young Inequality with a Remainder and Applications to Convex Duality and Optimal Transport. 1463-1472 - Figen Öztoprak, Richard H. Byrd, Jorge Nocedal:
Constrained Optimization in the Presence of Noise. 2118-2136 - Francis R. Bach, Alessandro Rudi:
Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials. 2137-2159 - Flávia Chorobura, Ion Necoara:
Random Coordinate Descent Methods for Nonseparable Composite Optimization. 2160-2190 - Frank E. Curtis, Qi Wang:
Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization. 2191-2221 - Gilles Bareilles, Franck Iutzeler, Jérôme Malick:
Harnessing Structure in Composite Nonsmooth Minimization. 2222-2247 - Hamed Rahimian, Bernardo K. Pagnoncelli:
Data-Driven Approximation of Contextual Chance-Constrained Stochastic Programs. 2248-2274 - Zhaosong Lu, Sanyou Mei:
Accelerated First-Order Methods for Convex Optimization with Locally Lipschitz Continuous Gradient. 2275-2310 - David Salas, Anton Svensson:
Existence of Solutions for Deterministic Bilevel Games under a General Bayesian Approach. 2311-2340 - Guanghui Lan, Yan Li, Tuo Zhao:
Block Policy Mirror Descent. 2341-2378 - Jingyi Wang, Cosmin G. Petra:
A Sequential Quadratic Programming Algorithm for Nonsmooth Problems with Upper- \({\boldsymbol{\mathcal{C}^2}}\) Objective. 2379-2405 - Hongfan (Kevin) Chen, Xu Andy Sun, Haoxiang Yang:
Robust Optimization with Continuous Decision-Dependent Uncertainty with applications to demand response management. 2406-2434 - Jourdain B. Lamperski, Oleg A. Prokopyev, Luca G. Wrabetz:
Min-Max-Min Optimization with Smooth and Strongly Convex Objectives. 2435-2456 - Van Huynh Ngai, Jean-Paul Penot:
The Semiconvex Regularization of Functions. 2457-2483 - Xi Yin Zheng:
Corrigendum: Convex Optimization Problems on Differentiable Sets. 2484-2488
Volume 33, Number 4, December 2023
- Tongseok Lim:
Maximal Monotonicity and Cyclic Involutivity of Multiconjugate Convex Functions. 2489-2511 - Samir Adly, Loïc Bourdin, Fabien Caubet, Aymeric Jacob de Cordemoy:
Shape Optimization for Variational Inequalities: The Scalar Tresca Friction Problem. 2512-2541 - Jérôme Bolte, Tam Le, Edouard Pauwels:
Subgradient Sampling for Nonsmooth Nonconvex Minimization. 2542-2569 - Leon Liu, Walaa M. Moursi, Jon Vanderwerff:
Strongly Nonexpansive Mappings Revisited: Uniform Monotonicity and Operator Splitting. 2570-2597 - Andrea Wagner, Firdevs Ulus, Birgit Rudloff, Gabriela Kovácová, Niklas Hey:
Algorithms to Solve Unbounded Convex Vector Optimization Problems. 2598-2624 - Matús Benko, Helmut Gfrerer, Jane J. Ye, Jin Zhang, Jinchuan Zhou:
Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems. 2625-2653 - Javier Peña:
Affine Invariant Convergence Rates of the Conditional Gradient Method. 2654-2674 - Ioannis C. Tsaknakis, Mingyi Hong, Shuzhong Zhang:
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality. 2675-2702 - Minh N. Dao, Hassan Saoud, Michel A. Théra:
Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators. 2703-2720 - Emanuel Laude, Andreas Themelis, Panagiotis Patrinos:
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. 2721-2749 - Ryan Hynd:
Evolution of Mixed Strategies in Monotone Games. 2750-2771 - Serge Gratton, Alena Kopanicáková, Philippe L. Toint:
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training. 2772-2800 - Xiaoyin Hu, Nachuan Xiao, Xin Liu, Kim-Chuan Toh:
An Improved Unconstrained Approach for Bilevel Optimization. 2801-2829 - Olga Kuryatnikova, Bissan Ghaddar, Daniel K. Molzahn:
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow. 2830-2857 - Hamza Fawzi, James Saunderson:
Optimal Self-Concordant Barriers for Quantum Relative Entropies. 2858-2884 - Peiyuan Zhang, Jingzhao Zhang, Suvrit Sra:
Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm. 2885-2908 - Andreas Bärmann, Alexander Martin, Oskar Schneider:
The Bipartite Boolean Quadric Polytope with Multiple-Choice Constraints. 2909-2934 - Chaobing Song, Jelena Diakonikolas:
Cyclic Coordinate Dual Averaging with Extrapolation. 2935-2961 - Yuyuan Ouyang, Trevor Squires:
Universal Conditional Gradient Sliding for Convex Optimization. 2962-2987 - Shiwei Wang, Chao Ding, Yangjing Zhang, Xinyuan Zhao:
Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications. 2988-3011 - Cédric Josz, Lexiao Lai, Xiaopeng Li:
Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients. 3012-3037 - Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz:
Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka-Łojasiewicz Property Without Global Lipschitz Assumptions. 3038-3056 - Lindon Roberts, Clément W. Royer:
Direct Search Based on Probabilistic Descent in Reduced Spaces. 3057-3082 - J. Frédéric Bonnans, Kang Liu, Nadia Oudjane, Laurent Pfeiffer, Cheng Wan:
Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution. 3083-3113 - Roey Merchav, Shoham Sabach:
Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function. 3114-3142
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