← Keywords

bayesian inference

1904 papers

Explore in graph

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

Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NIPS 2018
Meta-Learning MCMC Proposals NIPS 2018
Posterior Concentration for Sparse Deep Learning NIPS 2018
Gaussian Process Conditional Density Estimation NIPS 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NIPS 2018
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account NIPS 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Semi-Implicit Variational Inference ICML 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018
Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NIPS 2018
Bayesian Inference of Temporal Task Specifications from Demonstrations NIPS 2018
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
Monoaural Audio Source Separation Using Variational Autoencoders INTERSPEECH 2018
Message Passing Stein Variational Gradient Descent ICML 2018
Boosting Black Box Variational Inference NIPS 2018
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018
Variational Bayesian Monte Carlo NIPS 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
Efficient inference for time-varying behavior during learning NIPS 2018