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conftrace_

expectation propagation

90 papers

EP

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