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bayesian inference

1904 papers

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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

Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception RSS 2021
Dual Online Stein Variational Inference for Control and Dynamics RSS 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting RSS 2021
Bayesian streaming sparse Tucker decomposition UAI 2021
SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Variational inference with continuously-indexed normalizing flows UAI 2021
Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception AAAI 2021
MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021
Variational inference for nonlinear ordinary differential equations AISTATS 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021
BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
Bayesian Distance Clustering JMLR 2021
Soft Tensor Regression JMLR 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021
Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021
Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning ICML 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021
Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021