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

Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020
Source Separation with Deep Generative Priors ICML 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NIPS 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
Posterior-Guided Neural Architecture Search AAAI 2020
Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Greedy inference with structure-exploiting lazy maps NIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation ICML 2020
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020
Stein Variational Model Predictive Control CORL 2020
Probabilistic Safety for Bayesian Neural Networks UAI 2020
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization MLHC 2020
Defense Through Diverse Directions ICML 2020
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range CVPR 2019
Rotation Invariant Householder Parameterization for Bayesian PCA ICML 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Marginal Posterior Sampling for Slate Bandits IJCAI 2019
Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019
Amortized Monte Carlo Integration ICML 2019
Accelerate CNN via Recursive Bayesian Pruning ICCV 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019