Nonconvex Optimization

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  1. Composite Online-to-Nonconvex Conversion with Optimal Oracle Complexity

    Oct 8, 2026Mingyi Li, Taira Tsuchiya, Kenji YamanishiNonconvex Stochastic OptimizationNonconvex Optimization

  2. Convex-Concave Reinforcement Learning

    Oct 6, 2026Shripad V. Deshmukh, Yaswanth Chittepu, Dhawal Gupta +2Reinforcement LearningPolicy Gradient Methods

  3. Robust Local Optimization Done Right

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

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

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

  5. Removing spurious minima for planar features by skip connections

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

  6. DCEmbed: Scalable Optimization over Neural Surrogates

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

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

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

  8. 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

  9. Near-Optimal Nonconvex Matrix Completion

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

  10. Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

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

  11. Sparse Data Augmentation for Optimization with Provable Guarantees

    Sep 8, 2026Behrooz Tahmasebi, Melanie WeberData AugmentationNonconvex Optimization

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

    Sep 7, 2026Reza ParvazImage DeblurringNonconvex Optimization

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

    Sep 1, 2026Angshul MajumdarNonconvex OptimizationCorruption Robustness

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

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

  15. 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

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

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

  17. Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization

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

  18. The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

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

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

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

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

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

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

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

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

    Jul 28, 2026Zhaojun PengStochastic OptimizationNonconvex Stochastic Optimization

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

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

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

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

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

    Jul 23, 2026Zhuan Liang, Zheng ZhaiSpectral RegularizationRiemannian Optimization

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

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