conftrace_

posterior distribution

259 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) uncertainty quantification (1393) bayesian neural network (201) thompson sampling (237) gaussian process (1200) neural network (6616) kullback-leibler divergence (181) generative model (2892)

Papers

Neural Posterior Domain Randomization CORL 2021
Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
How Tight Can PAC-Bayes be in the Small Data Regime? NIPS 2021
ASR Posterior-Based Loss for Multi-Task End-to-End Speech Translation INTERSPEECH 2021
Efficient sampling from the Bingham distribution ALT 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021
Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows ICCV 2021
Geometric convergence of elliptical slice sampling ICML 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
Uncertainty Quantification for Sparse Deep Learning AISTATS 2020
Convergence Rates of Variational Inference in Sparse Deep Learning ICML 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks UAI 2020
Greedy inference with structure-exploiting lazy maps NIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NIPS 2020
Compositional uncertainty in deep Gaussian processes UAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020