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Bayesian Inference

5,566 papers

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Papers

Deep Bayesian Natural Language Processing ACL 2019
GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019
Variational Inference from Ranked Samples with Features ACML 2019
A Generalization Bound for Online Variational Inference ACML 2019
Active Change-Point Detection ACML 2019
Trust Region Sequential Variational Inference ACML 2019
Gaussian Regression with Convex Constraints AISTATS 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019
Unbiased Implicit Variational Inference AISTATS 2019
Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019
Reversible Jump Probabilistic Programming AISTATS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019