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Bayesian Inference

5,566 papers

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Papers

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Conditionally Independent Multiresolution Gaussian Processes AISTATS 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Adaptive Gaussian Copula ABC AISTATS 2019
On Structure Priors for Learning Bayesian Networks AISTATS 2019
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019
The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019
Variational Information Planning for Sequential Decision Making AISTATS 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features AISTATS 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Bernoulli Race Particle Filters AISTATS 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Efficient Bayesian Optimization for Target Vector Estimation AISTATS 2019
Adaptive MCMC via Combining Local Samplers AISTATS 2019
Variational Noise-Contrastive Estimation AISTATS 2019
Improving Quadrature for Constrained Integrands AISTATS 2019