Bayesian Inference
6,267 papers
Papers per year
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104
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Papers
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
AISTATS 2019
Scalable Global Optimization via Local Bayesian Optimization
NeurIPS 2019
Scalable inference of topic evolution via models for latent geometric structures
NeurIPS 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
ICML 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
NeurIPS 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NeurIPS 2019
Scalable Thompson Sampling via Optimal Transport
AISTATS 2019
Scalable Training of Inference Networks for Gaussian-Process Models
ICML 2019
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
ACL 2019
Self-Adversarially Learned Bayesian Sampling
AAAI 2019
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
CVPR 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms
AAAI 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
AISTATS 2019
Shared Subspace Models for Multi-Group Covariance Estimation
JMLR 2019
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
MLHC 2019
Smoothing Structured Decomposable Circuits
NeurIPS 2019
Sparse Variational Inference: Bayesian Coresets from Scratch
NeurIPS 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
NeurIPS 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
AAAI 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck
EMNLP 2019
SpHMC: Spectral Hamiltonian Monte Carlo
AAAI 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks
IJCAI 2019
Statistical Model Aggregation via Parameter Matching
NeurIPS 2019
Stein Variational Gradient Descent With Matrix-Valued Kernels
NeurIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
NeurIPS 2019