Bayesian Inference
6,267 papers
Papers per year
2
2
6
4
11
53
56
63
64
104
109
129
201
218
177
229
285
325
512
544
613
573
658
647
558
124
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Papers
No Regrets for Learning the Prior in Bandits
NeurIPS 2021
Novel Upper Bounds for the Constrained Most Probable Explanation Task
NeurIPS 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization
ICML 2021
OCTIS: Comparing and Optimizing Topic models is Simple!
EACL 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
NeurIPS 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
ICML 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound
COLT 2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation
EACL 2021
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
Online Variational Filtering and Parameter Learning
NeurIPS 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
ICML 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
AISTATS 2021
On Recovering from Modeling Errors Using Testing Bayesian Networks
ICML 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
ICML 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search
EACL 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
ICML 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions
AISTATS 2021
On the difficulty of unbiased alpha divergence minimization
ICML 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021
On the Existence of The Adversarial Bayes Classifier
NeurIPS 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling
NeurIPS 2021
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
On the Variance of the Fisher Information for Deep Learning
NeurIPS 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
ICML 2021
Opponent Hand Estimation in the Game of Gin Rummy
AAAI 2021