← Probability
Mathematics & Optimization › Probability ›

Stochastic Processes

373 directly classified papers

Papers per year

Papers

Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022
A Witness Two-Sample Test AISTATS 2022
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021
Kernel Stein Discrepancy Descent ICML 2021
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021
Probabilistic Iterative Methods for Linear Systems JMLR 2021
Rao-Blackwellised parallel MCMC AISTATS 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning JMLR 2021
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
Parallel tempering on optimized paths ICML 2021
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021
The Influence of Memory in Multi-Agent Consensus AAAI 2021
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NIPS 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Detection of Signal in the Spiked Rectangular Models ICML 2021
Statistical Estimation from Dependent Data ICML 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021
Diffusion Source Identification on Networks with Statistical Confidence ICML 2021