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← Probability
Mathematics & Optimization
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Probability
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Stochastic Processes
373 directly classified papers
Papers per year
2003: 1
2006: 4
2007: 4
2008: 2
2009: 6
2010: 6
2011: 4
2012: 15
2013: 12
2014: 19
2015: 6
2016: 18
2017: 21
2018: 20
2019: 25
2020: 25
2021: 33
2022: 48
2023: 34
2024: 56
2025: 14
Papers
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
NIPS 2023
Concentration analysis of multivariate elliptic diffusions
JMLR 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
JMLR 2023
Learning Mixtures of Markov Chains and MDPs
ICML 2023
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
AISTATS 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets
JMLR 2022
Three rates of convergence or separation via U-statistics in a dependent framework
JMLR 2022
Exact simulation of diffusion first exit times: algorithm acceleration
JMLR 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
JMLR 2022
LinCDE: Conditional Density Estimation via Lindsey's Method
JMLR 2022
Phase transitions in when feedback is useful
NIPS 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems
ICML 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
ICML 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
ICML 2022
Adaptive Data Analysis with Correlated Observations
ICML 2022
A Langevin-like Sampler for Discrete Distributions
ICML 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
ICML 2022
Marginal Tail-Adaptive Normalizing Flows
ICML 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
JMLR 2022
Signature Moments to Characterize Laws of Stochastic Processes
JMLR 2022
Convergence Rates for Gaussian Mixtures of Experts
JMLR 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
JMLR 2022
Interval-censored Hawkes processes
JMLR 2022
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