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Bayesian Inference

5,566 papers

Papers per year

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522
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Papers

Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
An Efficient Approach for Assessing Hyperparameter Importance ICML 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014
Gaussian Process Optimization with Mutual Information ICML 2014
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014
Rectangular Tiling Process ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014
Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Putting MRFs on a Tensor Train ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Hierarchical Dirichlet Scaling Process ICML 2014
Distributed Stochastic Gradient MCMC ICML 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
Learning the Parameters of Determinantal Point Process Kernels ICML 2014
Inferning with High Girth Graphical Models ICML 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Discovering Latent Network Structure in Point Process Data ICML 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Probabilistic Partial Canonical Correlation Analysis ICML 2014