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Bayesian Inference

5,566 papers

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Papers

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes ICML 2015
Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015
Differentially Private Bayesian Optimization ICML 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015
A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
A Bayesian nonparametric procedure for comparing algorithms ICML 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015
Nested Sequential Monte Carlo Methods ICML 2015
Sparse Variational Inference for Generalized GP Models ICML 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Distributed Gaussian Processes ICML 2015
Variational Inference with Normalizing Flows ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015
Weight Uncertainty in Neural Network ICML 2015
Large-scale Distributed Dependent Nonparametric Trees ICML 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015
Discovering Temporal Causal Relations from Subsampled Data ICML 2015