Stochastic Processes

Correlated Binomial Process COLT 2024 Decomposable Transformer Point Processes NeurIPS 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Set Representations NeurIPS 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Errors are Robustly Tamed in Cumulative Knowledge Processes COLT 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Faithful graphical representations of local independence AISTATS 2024 Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024 Gambling-Based Confidence Sequences for Bounded Random Vectors ICML 2024 Generative Fractional Diffusion Models NeurIPS 2024 Graph fission and cross-validation AISTATS 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 Hidden Population Estimation with Indirect Inference and Auxiliary Information UAI 2024 High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails ICML 2024 Hodge-Compositional Edge Gaussian Processes AISTATS 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting ICLR 2024