Latest Research in Statistics Theory
36 research papers · 2026 median publication year
Top Research Topics in Statistics Theory
- Machine Learning — 5 papers
- Statistics Theory — 3 papers
- Numerical Analysis — 3 papers
- Information Theory — 2 papers
- Model Reduction and Neural Networks — 2 papers
- Machine Learning — 2 papers
- Neural Networks and Reservoir Computing — 2 papers
- Computation — 2 papers
- Methodology — 2 papers
- Chaotic Dynamics — 2 papers
Highest-Cited Papers
- Combining Data‐Driven Subsampling and Extrema Quadratic Variation Estimators for Diffusion Parameter Identification in SDEs
- Sharp Reconstruction Bounds for Autoencoders Using the Same Forward Map
- Model Selection for Asymptotic Scaling Laws via Projection Residuals: Finite-Sample Guarantees and Diagnostics
- Computing the entropy rate of a quantized stationary Gaussian process
- Inertial Bypass: Geodesic Symplectic Mechanics on Hyperspherical Manifolds
- Inertial Bypass: Geodesic Symplectic Mechanics on Hyperspherical Manifolds
- Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
- Quenched Ensemble Sampling
- Noise-resilient penalty operators based on statistical differentiation schemes
- Repurposing a Commodity Hard-Disk Drive as a Physical Reservoir: A Preliminary, Single-Device Case Study
- Repurposing a Commodity Hard-Disk Drive as a Physical Reservoir: A Preliminary, Single-Device Case Study
- Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale: an offline randomized solution
- Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
- Stencil Computation at the Intersection of AI and HPC
- Estimating Hierarchically Rank Structured Covariance Matrices
- Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation
- Tensor-based Approximation of Molecular Kinetics: Generator Learning, Reaction Coordinates and Incremental Updating
- Sparse Signal Recovery Using Log-Sum Regularization and Adaptive Smoothing
- Bernstein--von Mises theorems for Bayesian probabilistic numerics
- Dynamical Low-Rank Smoothing