Bayesian Inference
6,267 papers
Papers per year
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Papers
Deterministic Variational Inference for Robust Bayesian Neural Networks
ICLR 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
NeurIPS 2019
Dichromatic Model Based Temporal Color Constancy for AC Light Sources
CVPR 2019
Differentially Private Bayesian Linear Regression
NeurIPS 2019
Differentially Private Markov Chain Monte Carlo
NeurIPS 2019
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
AAAI 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
NeurIPS 2019
Discriminative Topic Modeling with Logistic LDA
NeurIPS 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
CVPR 2019
Distribution calibration for regression
ICML 2019
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
NeurIPS 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
NeurIPS 2019
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
ICLR 2019
Doubly Semi-Implicit Variational Inference
AISTATS 2019
Dropout as a Structured Shrinkage Prior
ICML 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
NeurIPS 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
MLHC 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
AAAI 2019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
ICML 2019
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
ICML 2019
Efficient Bayesian Experimental Design for Implicit Models
AISTATS 2019
Efficient Bayesian Optimization for Target Vector Estimation
AISTATS 2019
Efficient Bayes Risk Estimation for Cost-Sensitive Classification
AISTATS 2019
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
AAAI 2019