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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

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity AISTATS 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019
Interpretable Word Embeddings via Informative Priors EMNLP 2019
Online sampling from log-concave distributions NIPS 2019
Reparameterizing Distributions on Lie Groups AISTATS 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
Switching Linear Dynamics for Variational Bayes Filtering ICML 2019
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019
Dropout as a Structured Shrinkage Prior ICML 2019
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019
Estimating the Causal Effect from Partially Observed Time Series AAAI 2019
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity AISTATS 2019
Adaptive MCMC via Combining Local Samplers AISTATS 2019
Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019
Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NIPS 2019
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019
Interpretable Word Embeddings via Informative Priors IJCNLP 2019
Towards Zero-shot Language Modeling IJCNLP 2019
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
Automatic Bayesian Density Analysis AAAI 2019