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Bayesian Inference

4,821 papers

Papers per year

Papers

Bayesian Optimization with Binary Auxiliary Information UAI 2019
Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019
Contour location via entropy reduction leveraging multiple information sources NIPS 2018
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NIPS 2018
Streamlining Variational Inference for Constraint Satisfaction Problems NIPS 2018
Differentially Private Bayesian Inference for Exponential Families NIPS 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Random Feature Stein Discrepancies NIPS 2018
Bayesian Structure Learning by Recursive Bootstrap NIPS 2018
Stein Variational Gradient Descent as Moment Matching NIPS 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
PAC-Bayes Tree: weighted subtrees with guarantees NIPS 2018
Amortized Inference Regularization NIPS 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
Variational Inference with Tail-adaptive f-Divergence NIPS 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
Importance Weighting and Variational Inference NIPS 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NIPS 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes NIPS 2018
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Wasserstein Variational Inference NIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NIPS 2018