Latest Research in Probability
53 research papers · 2026 median publication year
Top Research Topics in Probability
- Optimization and Control — 11 papers
- Numerical Analysis — 8 papers
- Probability — 5 papers
- Statistics Theory — 5 papers
- Machine Learning — 3 papers
- Information Theory — 3 papers
- Computation — 2 papers
- Reinforcement Learning in Robotics — 2 papers
- Machine Learning — 2 papers
- Model Reduction and Neural Networks — 1 papers
Highest-Cited Papers
- An Analysis of the Diaconis-Holmes-Neal Markov Chain Sampler Under Generalized Unimodal Underlying Probabilities
- Structure-Aware Bounds for the Distance to Instability in Hierarchical Non-Normal Networks
- A Parameter-Free Adaptive Reflected Gradient Method for Monotone Variational Inequalities
- On the Forgetting of Particle Filters
- Exact finite-sample inference for multi-mixed fractional Brownian motion with drift
- Optimal Scaling of Langevin Proposals with Generalized Acceptance Rules
- Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start
- Bias Reduction by Multiscale Quasi-Interpolation for Scalar- and Manifold-Valued Functions
- Learning Metastable Dynamics
- Exponential rate of convergence of relative value iteration algorithms for ergodic controls of diffusions
- An Occupation-Measure and Frank-Wolfe Framework for Heterogeneous Mean-Field Control
- Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle
- Total Generalized Variation for Inverse Problems Involving Piecewise Linear Finite Elements
- Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling
- Asynchronous Replanning in Two Population Linear Quadratic Mean Field Games: Information Requirements and Stability
- Mean-field path-integral diffusion from samples to interacting agents
- Stochastic Maximum Principle for McKean-Vlasov Control with Discrete Path Dependence
- Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms
- Scalable Approximate Selected Inversion Based on Single-Level Incomplete $LDL^T$ Factorization and Spectral Corrections for Large Sparse Systems
- Sparse Approximation via Polynomial Equations