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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

Learning Hawkes Processes from a handful of events NIPS 2019
Mutually Regressive Point Processes NIPS 2019
Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
Evidence-based Trustworthiness ACL 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019
Understanding and Accelerating Particle-Based Variational Inference ICML 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019
Rotation Invariant Householder Parameterization for Bayesian PCA ICML 2019
Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees JMLR 2019
Dependent relevance determination for smooth and structured sparse regression JMLR 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019
Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NIPS 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces NIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019
Kernelized Bayesian Softmax for Text Generation NIPS 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019
Faster Attend-Infer-Repeat with Tractable Probabilistic Models ICML 2019
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models INTERSPEECH 2019