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conftrace_

posterior distribution

314 papers

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