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Stochastic Processes

373 directly classified papers

Papers per year

Papers

Testing exchangeability by pairwise betting AISTATS 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024
Is Score Matching Suitable for Estimating Point Processes? NIPS 2024
Generative Fractional Diffusion Models NIPS 2024
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence AAAI 2024
Correlated Binomial Process COLT 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent JMLR 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024
Online Sampling and Decision Making with Low Entropy IJCAI 2024
Continuous-Time Graph Representation with Sequential Survival Process AAAI 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024
Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024
On cyclical MCMC sampling AISTATS 2024
Graph fission and cross-validation AISTATS 2024
Faithful graphical representations of local independence AISTATS 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Decomposable Transformer Point Processes NIPS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024