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Bayesian Inference

4821 directly classified papers

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Papers

Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NIPS 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017
A Generative Model for Score Normalization in Speaker Recognition INTERSPEECH 2017
A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors JMLR 2017
Stability of Controllers for Gaussian Process Dynamics JMLR 2017
Universality of Bayesian mixture predictors ALT 2017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016
Examples are not enough, learn to criticize! Criticism for Interpretability NIPS 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016
Infinite Hidden Semi-Markov Modulated Interaction Point Process NIPS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NIPS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
PAC-Bayesian Theory Meets Bayesian Inference NIPS 2016
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
The Nonparametric Kernel Bayes Smoother AISTATS 2016
GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016
Variational Gaussian Copula Inference AISTATS 2016