conftrace_

posterior inference

138 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) bayesian nonparametrics (270) gaussian process (1200) uncertainty quantification (1393) gibbs sampling (201) mcmc sampling (70) generative model (2892) importance sampling (318)

Papers

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Random Feature Stein Discrepancies NIPS 2018
Learning Priors for Invariance AISTATS 2018
Proximity Variational Inference AISTATS 2018
Probabilistic Boolean Tensor Decomposition ICML 2018
Covariances, Robustness, and Variational Bayes JMLR 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018
Semi-Implicit Variational Inference ICML 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference NIPS 2018
Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
Bayesian Dynamic Mode Decomposition IJCAI 2017
Unsupervised Dialogue Act Induction using Gaussian Mixtures EACL 2017
Averaged Collapsed Variational Bayes Inference JMLR 2017
Bayesian Boolean Matrix Factorisation ICML 2017
Post-Inference Prior Swapping ICML 2017
Multi-way Interacting Regression via Factorization Machines NIPS 2017
A Variational Analysis of Stochastic Gradient Algorithms ICML 2016
Variational Tempering AISTATS 2016
Variance Reduction in Stochastic Gradient Langevin Dynamics NIPS 2016
Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NIPS 2016