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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Bayesian Nonparametric Spectral Estimation NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NIPS 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Asymptotic optimality of adaptive importance sampling NIPS 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Learning Bayesian Networks by Branching on Constraints PGM 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018
Bucket Renormalization for Approximate Inference ICML 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
Stein Points ICML 2018
Minibatch Gibbs Sampling on Large Graphical Models ICML 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018
Parallel Bayesian Network Structure Learning ICML 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018
Robust and Scalable Models of Microbiome Dynamics ICML 2018
Stein Variational Gradient Descent Without Gradient ICML 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018