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Stochastic Processes

438 papers

Papers per year

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9
29
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Papers

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
Optimal prediction of Markov chains with and without spectral gap NIPS 2021
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NIPS 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs AAAI 2021
Loop Estimator for Discounted Values in Markov Reward Processes AAAI 2021
UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021
The Influence of Memory in Multi-Agent Consensus AAAI 2021
Bounding Causal Effects on Continuous Outcome AAAI 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Rao-Blackwellised parallel MCMC AISTATS 2021
Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Learning in Matrix Games can be Arbitrarily Complex COLT 2021
Efficient Sampling of Dependency Structure EMNLP 2021
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data ICCV 2021
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image ICCV 2021
Diffusion Source Identification on Networks with Statistical Confidence ICML 2021
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
Compressed Maximum Likelihood ICML 2021