Co-occurring keywords · papers mentioning both
Papers
Posterior Meta-Replay for Continual Learning
NeurIPS 2021
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis
CVPR 2021
Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows
ICCV 2021
Pseudo-Marginal Hamiltonian Monte Carlo
JMLR 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
JMLR 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
What Are Bayesian Neural Network Posteriors Really Like?
ICML 2021
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
ICML 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
NeurIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
NeurIPS 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
ICML 2020
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization
MLHC 2020
Compositional uncertainty in deep Gaussian processes
UAI 2020
Convergence Rates of Variational Inference in Sparse Deep Learning
ICML 2020
Deep Transformers with Latent Depth
NeurIPS 2020
Defense Through Diverse Directions
ICML 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
ICML 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
UAI 2020
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach
ICML 2020
Greedy inference with structure-exploiting lazy maps
NeurIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
NeurIPS 2020
Model Fusion with Kullback-Leibler Divergence
ICML 2020
Posterior-Guided Neural Architecture Search
AAAI 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
NeurIPS 2020