Co-occurring keywords · papers mentioning both
Papers
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models
AISTATS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs
NeurIPS 2024
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
ICML 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models
L4DC 2020
Bayesian Intermittent Demand Forecasting for Large Inventories
NeurIPS 2016
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
JMLR 2013
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
AISTATS 2012