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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
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Papers

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Operator Variational Inference NIPS 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much NIPS 2016
Parameter Learning for Log-supermodular Distributions NIPS 2016
A Pseudo-Bayesian Algorithm for Robust PCA NIPS 2016
The Forget-me-not Process NIPS 2016
The Generalized Reparameterization Gradient NIPS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Bayesian optimization for automated model selection AUTOML 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry AUTOML 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching AISTATS 2016
Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models AISTATS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models AISTATS 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016
Latent Point Process Allocation AISTATS 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016
PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016