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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

Conditional Generative Moment-Matching Networks NIPS 2016
Bayesian Intermittent Demand Forecasting for Large Inventories NIPS 2016
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NIPS 2016
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NIPS 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016
An equivalence between high dimensional Bayes optimal inference and M-estimation NIPS 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NIPS 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
Probabilistic Linear Multistep Methods NIPS 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
Bayesian Optimization for Probabilistic Programs NIPS 2016
Synthesis of MCMC and Belief Propagation NIPS 2016
Bayesian optimization for automated model selection NIPS 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016
Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Optimistic Gittins Indices NIPS 2016
Probing the Compositionality of Intuitive Functions NIPS 2016
Examples are not enough, learn to criticize! Criticism for Interpretability NIPS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016