poisson process

Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs UAI 2026 Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics ICML 2025 UNHaP: Unmixing Noise from Hawkes Processes AISTATS 2025 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Greedy Poisson Rejection Sampling NeurIPS 2023 Poisson Process for Bayesian Optimization AutoML 2023 Anytime-Valid Inference For Multinomial Count Data NeurIPS 2022 Deep Neyman-Scott Processes AISTATS 2022 Interval-censored Hawkes processes JMLR 2022 Online Posted Pricing with Unknown Time-Discounted Valuations AAAI 2021 A Robust Functional EM Algorithm for Incomplete Panel Count Data NeurIPS 2020 Adaptive Sensor Placement for Continuous Spaces ICML 2019 Consistent Online Optimization: Convex and Submodular AISTATS 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Recurrent Poisson Process Unit for Speech Recognition AAAI 2019 Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Poisson intensity estimation with reproducing kernels AISTATS 2017 Latent Point Process Allocation AISTATS 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015 Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015