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bayesian inference

1907 papers

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BI

Co-occurring keywords

variational inference (2069) markov chain monte carlo (725) gaussian process (1200) probabilistic modeling (852) uncertainty quantification (1393) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (864) probabilistic model (476)

Papers

State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Large-Scale Stochastic Sampling from the Probability Simplex NIPS 2018
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018
Meta-Learning MCMC Proposals NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Query Complexity of Bayesian Private Learning NIPS 2018
A Reduction for Efficient LDA Topic Reconstruction NIPS 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Efficiently Sampling from Underlying Models RSS 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Variational Sequential Monte Carlo AISTATS 2018
Profitable Bandits ACML 2018
ELFI: Engine for Likelihood-Free Inference JMLR 2018
How Deep Are Deep Gaussian Processes? JMLR 2018
Efficient inference for time-varying behavior during learning NIPS 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018
Wasserstein Variational Inference NIPS 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018