Stochastic Processes

Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021 Optimal prediction of Markov chains with and without spectral gap NeurIPS 2021 Optimal Underdamped Langevin MCMC Method NeurIPS 2021 Parallel tempering on optimized paths ICML 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Rao-Blackwellised parallel MCMC AISTATS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs AAAI 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021 Stable Online Control of Linear Time-Varying Systems L4DC 2021 Statistical Estimation from Dependent Data ICML 2021 Stochastic Online Optimization using Kalman Recursion JMLR 2021 The Influence of Memory in Multi-Agent Consensus AAAI 2021 The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data ICCV 2021 Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021 Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image ICCV 2021 UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices NeurIPS 2020 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 ASR-Free Pronunciation Assessment Interspeech 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020