conftrace_

posterior approximation

132 papers

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Co-occurring keywords

variational inference (2069) bayesian inference (1907) bayesian neural network (201) markov chain monte carlo (725) uncertainty quantification (1393) approximate inference (253) amortized inference (102) gaussian process (1200) generative model (2892) normalizing flow (354)

Papers

Faithful Inversion of Generative Models for Effective Amortized Inference NIPS 2018
Variational Sequential Monte Carlo AISTATS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
CRVI: Convex Relaxation for Variational Inference ICML 2018
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NIPS 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Automatic Differentiation Variational Inference JMLR 2017
Variational Boosting: Iteratively Refining Posterior Approximations ICML 2017
Operator Variational Inference NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Hierarchical Variational Models ICML 2016
Variational Gaussian Copula Inference AISTATS 2016
Variational Consensus Monte Carlo NIPS 2015
Stochastic Structured Variational Inference AISTATS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
Copula variational inference NIPS 2015
A trust-region method for stochastic variational inference with applications to streaming data ICML 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015
Bounding errors of Expectation-Propagation NIPS 2015
Stochastic Expectation Propagation NIPS 2015
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014