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Stochastic Processes

438 papers

Papers per year

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9
29
16
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Papers

Continuous-Time Graph Representation with Sequential Survival Process AAAI 2024
Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence AAAI 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024
A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
Graph fission and cross-validation AISTATS 2024
Faithful graphical representations of local independence AISTATS 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Testing exchangeability by pairwise betting AISTATS 2024
Correlated Binomial Process COLT 2024
Online Sampling and Decision Making with Low Entropy IJCAI 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent JMLR 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024
Pareto Smoothed Importance Sampling JMLR 2024
Kernel Thinning JMLR 2024