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Bayesian Inference

4821 directly classified papers

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Papers

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Efficiently Sampling from Underlying Models RSS 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction EMNLP 2018
Proximity Variational Inference AISTATS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018
Variational Sequential Monte Carlo AISTATS 2018
Variational Rejection Sampling AISTATS 2018
Variational Inference based on Robust Divergences AISTATS 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Learning Priors for Invariance AISTATS 2018
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018
Deep Regression Forests for Age Estimation CVPR 2018
Density Adaptive Point Set Registration CVPR 2018
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018