Papers

• Barzilai-Borwein Fails Superlinear Convergence on an Open Set of Quadratics for Every Dimension $n\geq 4$ (2026)
  Dawei Li et al.
  5.49
• Explicit Iteration Complexity of Exact Data-Driven Inverse Optimization for Integer Linear Programs (2026)
  Akira Kitaoka
  5.49
• Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature (2026)
  Rachid Caich et al.
  5.49
• Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics (2026)
  Abhishek Shankar
  5.01
• Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model (2026)
  Ruijian Han et al.
  5.01
• Stochastic Linear Bandits with Partially Observed Actions (2026)
  Gautam Dasarathy et al.
  4.39
• Lipschitzian SLLNs for random functions (2026)
  Lai Tian et al.
  4.39
• Fisher Widths: Local Learning Geometry and Anisotropic Recovery (2026)
  Vu Khac Ky
  4.39
• Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications (2026)
  Zhuan Liang et al.
  4.39
• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
  4.39
• Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (2026)
  Sergio A. Alvarez
  4.39
• Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent (2026)
  Peng Zhao
  4.39
• Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection (2026)
  Meghna Kalra et al.
  3.51
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.51
• Online Optimization of Difference-of-Convex Compositions with Smooth Mappings (2026)
  Jingwei Ji et al.
  3.51
• Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks (2026)
  Greg Ongie et al.
  3.45
• On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization (2026)
  Sharan Sahu et al.
  3.17
• Online Pricing and Allocation with Demand Learning and Fulfillment Cost (2025)
  Jianyu Xu et al.
  2.06
• Geometry-Conditioned Fourier Neural Operators for Cubic Nonlinear Schrodinger Dynamics on Periodic Domains (2026)
  Emmanuel E. Oguadimma et al.
  1.94
• Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product (2026)
  Mufan Li et al.
  1.94
• Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks (2026)
  Yunfei Yang et al.
  1.89
• Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance (2026)
  Hangyi Zhao
  1.78
• Minimum Norm Interpolation via the Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity (2026)
  Gil Kur et al.
  1.78
• Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators (2025)
  Sven Dummer et al.
  1.44