Nonconvex Optimization

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  1. Robust Local Optimization Done Right

    Oct 5, 2026James Pritts, Kevin KöserRelative Pose EstimationNonconvex Optimization

  2. SoftServe: A Scalable Quasi-Newton Method for Deep Learning

    Oct 1, 2026Joohwan Ko, Tetiana Parshakova, Diana Cai +1Deep Learning OptimizationSecond-Order Optimization

  3. Removing spurious minima for planar features by skip connections

    Oct 1, 2026Jakob Paul Zimmermann, Moritz Grillo, Andrei Balakin +1Shallow Neural NetworksReLU Neural Networks

  4. DCEmbed: Scalable Optimization over Neural Surrogates

    Sep 27, 2026Akshay Sreekumar, Nicolas Christianson, Priya L. Donti +2Neural Surrogate ModelingSurrogate-Assisted Optimization

  5. lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers

    Sep 27, 2026Yuankun Chen, Zifei Nie, Kangyu Lin +2Differentiable ProgrammingNonconvex Optimization

  6. Transformer-Informed Trajectory Optimization for Relative Motion in Cislunar Orbits

    Sep 21, 2026Walter J. Manuel, Yuji Takubo, Simone D'AmicoTrajectory OptimizationSpacecraft Rendezvous and Proximity Operations

  7. Near-Optimal Nonconvex Matrix Completion

    Sep 15, 2026Jian-Feng Cai, Xiliang Lu, Juntao YouRiemannian OptimizationNonconvex Optimization

  8. Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

    Sep 8, 2026Alexander Ryabchenko, Jian Qian, Wenlong MouZeroth-Order OptimizationNonconvex Optimization

  9. Sparse Data Augmentation for Optimization with Provable Guarantees

    Sep 8, 2026Behrooz Tahmasebi, Melanie WeberData AugmentationNonconvex Optimization

  10. Poisson Image Denoising Using Minimax Concave and Reweighted ℓ1\ell_1 Penalties: Nonblind and Blind Approaches

    Sep 7, 2026Reza ParvazImage DeblurringNonconvex Optimization

  11. Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

    Sep 1, 2026Angshul MajumdarNonconvex OptimizationCorruption Robustness

  12. Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy

    Aug 31, 2026Seyed Mohsen Kazemi, Ali Movaghar, Shaahin hessabiNonconvex OptimizationConstrained Optimization

  13. A Globally Convergent Algorithm for Total Scaled-Gradient Variation via Cone-Constrained Bilinear Decomposition

    Aug 29, 2026Haibin Su, Chunlin Wu, Huibin Chang +1Image ReconstructionNonconvex Optimization

  14. A Local-Linearly Convergent Algorithm for Nonconvex Equality-Constrained Optimization

    Aug 12, 2026Frank E. Curtis, Lingjun Guo, Daniel P. RobinsonOptimization Convergence AnalysisNonconvex Optimization

  15. Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization

    Aug 7, 2026Kuangyu Ding, Kim-Chuan TohNonconvex OptimizationMirror Descent

  16. The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

    Aug 6, 2026Iosif Lytras, Nikolaos Makras, Sotirios SabanisStochastic Gradient Langevin DynamicsLangevin Dynamics

  17. Muon on the Stiefel Manifold Admits an Exact Closed-Form Update

    Aug 6, 2026Mikhail Solonko, Molozhavenko Alexander, Maxim RakhubaStiefel Manifold OptimizationRiemannian Optimization

  18. Biconvex Optimization for Smooth Minimum-Time Trajectories around Convex Obstacles

    Aug 3, 2026Peter Werner, Tobia Marcucci, Daniela RusConstrained Motion PlanningTrajectory Optimization

  19. On the robustness of noisy solutions in non-convex neural networks

    Jul 29, 2026Enrico M. Malatesta, Alessandra Passalacqua, Riccardo ZecchinaStochastic OptimizationNeural Network Generalization

  20. Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization

    Jul 28, 2026Zhaojun PengStochastic OptimizationNonconvex Stochastic Optimization

  21. Lloyd's KK-Means Clustering Algorithm Is Frank-Wolfe in Disguise

    Jul 28, 2026Michael Pokojovy, J. Marcus Jobe, Simon Lacoste-JulienClusteringUnsupervised Clustering

  22. Learning from the Descent Direction: Adaptive Gradient Descent under One-Sided Hölder Regularity

    Jul 24, 2026Arzu Ahmadova, Ismail HuseynovLearning Rate SchedulingNonconvex Optimization

  23. Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications

    Jul 23, 2026Zhuan Liang, Zheng ZhaiSpectral RegularizationRiemannian Optimization

  24. Online Optimization of Difference-of-Convex Compositions with Smooth Mappings

    Jul 21, 2026Jingwei Ji, Jong-Shi Pang, Renyuan XuNonconvex OptimizationConstrained Optimization

  25. Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization

    Jul 12, 2026Raziyeh TakbiriSparse RecoveryNonconvex Optimization

  26. Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles

    Jul 10, 2026Jiseok Chae, Donghwan KimLearning Rate SchedulingOptimization Convergence Analysis

  27. Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity

    Jul 9, 2026Linglingzhi Zhu, Jiajin LiPrimal-Dual OptimizationNonconvex Optimization

  28. Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates

    Jul 8, 2026Jianing Liu, Dong H. ZhangGauss-Newton OptimizationRiemannian Optimization

  29. Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions

    Jul 6, 2026Kyohei Suzuki, Konstantinos SlavakisTemporal-Difference LearningNonconvex Optimization

  30. Direction-Magnitude Decomposition for Low-Rank Matrix Optimization: Faster Convergence and Saddle-to-saddle Dynamics

    Jun 30, 2026Yudong Wei, Liang Zhang, Bingcong Li +1Low-Rank Matrix DecompositionNonconvex Optimization

  31. A Fast Convergent Algorithm for Solving Non-convex Partially-Decoupled Generalized Nash Equilibrium Problems

    Jun 26, 2026Bennet Outland, Vishala AryaGame TheoryNonconvex Optimization

  32. Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz Optimization

    Jun 26, 2026Shuang Li, Zhihui Zhu, Qiuwei LiOptimization Convergence AnalysisDistributed Optimization

  33. Difference of Convex Programming in the Wasserstein Space with Applications to MMD Optimization

    Jun 26, 2026Clément Bonet, Pierre-Cyril Aubin-Frankowski, Youssef MrouehMaximum Mean DiscrepancyNonconvex Optimization

  34. Finding Stationary Points by Comparisons

    Jun 25, 2026Helin Wang, Chenyi Zhang, Xiwen Tao +2Black-Box OptimizationZeroth-Order Optimization

  35. Adam Converges in Nonsmooth Nonconvex Optimization

    Jun 21, 2026Zijian LiuHeavy-Tailed NoiseNonconvex Optimization

  36. On the Oracle Complexity of Interpolation-Based Gradient Descent

    Jun 18, 2026Dongmin Lee, William Lu, Anuran MakurOracle ComplexityGradient Descent

  37. Semiglobal Input-Delay Tolerance Algorithm for Distributed Nonconvex Optimization of Networked Nonlinear Systems

    Jun 18, 2026Jing-Zhe Xu, Zhi-Wei Liu, Ming-Feng Ge +2Dynamical SystemsOptimization Convergence Analysis

  38. Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm

    Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor CompletionNonconvex Optimization

  39. The Complexity of Min-Max Optimization for Quadratic Polynomials

    Jun 15, 2026Martino Bernasconi, Matteo Castiglioni, Andrea Celli +1Min-Max OptimizationNonconvex Optimization

  40. Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees

    Jun 12, 2026Pekka Malo, Lauri Viitasaari, Patrik Nummi +3Evolutionary OptimizationOptimization Convergence Analysis

  41. Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization

    Jun 3, 2026Dongruo ZhouOptimization Convergence AnalysisNonconvex Optimization

  42. From Non-Convex to Strongly Convex: Curvature-Adaptive FTPL for Online Optimization

    Jun 1, 2026Moses Charikar, Chirag Pabbaraju, Ambuj TewariOnline Convex OptimizationNonconvex Optimization

  43. GLENS: Global Search via Learning from Solver Iterates with Diffusion Models

    May 29, 2026Anjian Li, Bartolomeo Stellato, Ryne BeesonLearning to OptimizeDiffusion Sampling

  44. Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

    May 28, 2026Sharan Vaswani, Yifan Sun, Reza BabanezhadOptimization Convergence AnalysisGradient Descent

  45. Caspar: CUDA Accelerator for Symbolic Programming with Adaptive Reordering

    May 28, 2026Emil Martens, Aaron Miller, Matias Varnum +1Bundle AdjustmentGPU Kernel Optimization

  46. MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization

    May 28, 2026Luxuan Li, Chunfeng Cui, Xiao WangStochastic OptimizationNonconvex Stochastic Optimization

  47. Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate

    May 24, 2026Huangyu Xu, Jingqin Yang, Qianqian Xu +1Nonconvex Optimization

  48. RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs

    May 22, 2026Yi-Shuai NiuNonconvex Optimization

  49. Convex Compositional Reasoning Models

    May 22, 2026Meir Roketlishvili, Semyon Semenov, Maksim Bobrin +7Compositional ReasoningEnergy-Based Models

  50. Exploiting Non-Negativity in DAG Structure Learning

    May 19, 2026Samuel Rey, Madeline navarro, Gonzalo MateosGraph Structure LearningStructural Causal Models

  51. An Exterior Method for Nonnegative Matrix Factorization

    May 19, 2026Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh +2Non-Negative Matrix FactorizationLow-Rank Matrix Decomposition