← Keywords

bayesian inference

1904 papers

Explore in graph

Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
The Boomerang Sampler ICML 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent NIPS 2020
Domain Adaptation as a Problem of Inference on Graphical Models NIPS 2020
Towards Scalable Bayesian Learning of Causal DAGs NIPS 2020
Tree-Structured Neural Topic Model ACL 2020
Robust Optimisation Monte Carlo AISTATS 2020
A Unified View of Label Shift Estimation NIPS 2020
Simulator Calibration under Covariate Shift with Kernels AISTATS 2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration NIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NIPS 2020
Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families NIPS 2020
Involutive MCMC: a Unifying Framework ICML 2020
Asymptotically Optimal Exact Minibatch Metropolis-Hastings NIPS 2020
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NIPS 2020
Neuronal Gaussian Process Regression NIPS 2020
Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020
Reparameterizing Distributions on Lie Groups AISTATS 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking NIPS 2019
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019
Automatic Bayesian Density Analysis AAAI 2019
Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019
Learning Hawkes Processes from a handful of events NIPS 2019