← 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

Scalable gradient matching based on state space Gaussian Processes ACML 2021
Improving Dialog Systems for Negotiation with Personality Modeling IJCNLP 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics NIPS 2021
A Hybrid Approximation to the Marginal Likelihood AISTATS 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021
Bias and variance of the Bayesian-mean decoder NIPS 2021
Functional Variational Inference based on Stochastic Process Generators NIPS 2021
Bayesian Latent Factor Model for Higher-order Data ACML 2021
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021
Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021
Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021
An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021
Repulsive Deep Ensembles are Bayesian NIPS 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NIPS 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NIPS 2021
Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model IJCNLP 2021
Black-box density function estimation using recursive partitioning ICML 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021