Latest Research in Statistics Theory

Top Research Topics in Statistics Theory

• Optimization and Control — 10 papers
• Statistics Theory — 3 papers
• Distributed Control Multi-Agent Systems — 2 papers
• Stochastic Gradient Optimization Techniques — 1 papers
• Machine Learning — 1 papers
• Mathematical Software — 1 papers
• Geometric Analysis and Curvature Flows — 1 papers
• Numerical Analysis — 1 papers
• Advanced Neuroimaging Techniques and Applications — 1 papers
• Machine Learning — 1 papers

Highest-Cited Papers

1. A Regularized Newton-Type Method for Manifold--Affine Intersection Problems under Intrinsic Transversality
2. Geometry and Convergence of Quadratically Regularized Optimal Transport I
3. A Provably Exact Distributed ADMM Projection onto Graph-Constrained Doubly Stochastic Matrices (2 citations)
4. A Provably Exact Distributed ADMM Projection onto Graph-Constrained Doubly Stochastic Matrices (2 citations)
5. Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
6. Lower Bounds for Nonconvex-Concave Minimax Optimization
7. On Tackling High-Dimensional Nonconvex Stochastic Optimization via Stochastic First-Order Methods with Non-smooth Proximal Terms and Variance Reduction
8. Optimal Recursive Composition and Dyadic Phase Laws for Gradient Descent with Predetermined Stepsizes
9. A Two-Sample Test for Random Persistence Diagrams Against Alternatives Characterized by Persistence Intensity Differences
10. CLARSTA: A random subspace trust-region algorithm for convex-constrained derivative-free optimization
11. Iteration of Complexity and Asymptotic Analysis of Gradient-Type Methods with Non-monotone Line Search on Riemannian Manifolds
12. A computational approach to maximum likelihood thresholds for colored Gaussian graphical models
13. Gaussian comparison above the median
14. Projected Gradient Method on Hadamard Manifolds
15. Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy
16. Learning to Optimize by Differentiable Programming
17. Wasserstein Metric as Optimal Transport with Sobolev Link — E8 Intelligence Research
18. On the Subsample Size of Quantile-Based Randomized Kaczmarz
19. Wasserstein mirror gradient flow as the limit of the Sinkhorn algorithm
20. A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad and Muon