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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
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Papers

A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016
A Variational Analysis of Stochastic Gradient Algorithms ICML 2016
Optimality of Belief Propagation for Crowdsourced Classification ICML 2016
Learning privately from multiparty data ICML 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Doubly Decomposing Nonparametric Tensor Regression ICML 2016
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016
A New PAC-Bayesian Perspective on Domain Adaptation ICML 2016
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016
Collapsed Variational Inference for Sum-Product Networks ICML 2016
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Black-Box Alpha Divergence Minimization ICML 2016
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016
On collapsed representation of hierarchical Completely Random Measures ICML 2016
Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016
Extended and Unscented Kitchen Sinks ICML 2016
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016
Neural Variational Inference for Text Processing ICML 2016