Co-occurring keywords · papers mentioning both
Papers
Entropic Matching for Expectation Propagation of Markov Jump Processes
AISTATS 2025
Fearless Stochasticity in Expectation Propagation
NeurIPS 2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
AAAI 2024
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
JMLR 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression
JMLR 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
ICLR 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
AAAI 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
ICML 2023
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
NeurIPS 2021
Sparse Algorithms for Markovian Gaussian Processes
AISTATS 2021
Streaming Bayesian Deep Tensor Factorization
ICML 2021
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data
JMLR 2020
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
NeurIPS 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
ICML 2020
Conditional Expectation Propagation
UAI 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
ICML 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
JMLR 2019
Graphical Generative Adversarial Networks
NeurIPS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
NeurIPS 2018
Infinite-Horizon Gaussian Processes
NeurIPS 2018
State Space Gaussian Processes with Non-Gaussian Likelihood
ICML 2018
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
JMLR 2017
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors
JMLR 2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
JMLR 2017