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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling JMLR 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
Bayesian Nonparametric Spectral Estimation NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences NIPS 2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets ALT 2018
BUT System for DIHARD Speech Diarization Challenge 2018 INTERSPEECH 2018
Covariances, Robustness, and Variational Bayes JMLR 2018
An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018
Differentially Private Bayesian Inference for Exponential Families NIPS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Social Media based Simulation Models for Understanding Disease Dynamics IJCAI 2018
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information IJCAI 2018
Contour location via entropy reduction leveraging multiple information sources NIPS 2018
Variational Sequential Monte Carlo AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018
Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018
Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling IJCAI 2018
Probabilistic bipolar abstract argumentation frameworks: complexity results IJCAI 2018
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NIPS 2018
Bayesian Approaches to Distribution Regression AISTATS 2018
Tensor Regression Meets Gaussian Processes AISTATS 2018