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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
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Papers

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
A Stein variational Newton method NIPS 2018
Including Uncertainty when Learning from Human Corrections CORL 2018
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation CORL 2018
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CORL 2018
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning CORL 2018
Predicting Japanese Word Order in Double Object Constructions ACL 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018
Clustering Induced Kernel Learning ACML 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018
Batch Normalized Deep Boltzmann Machines ACML 2018
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach AISTATS 2018
Fast Threshold Tests for Detecting Discrimination AISTATS 2018
Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy AISTATS 2018
Optimal Submodular Extensions for Marginal Estimation AISTATS 2018
Learning Priors for Invariance AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Tensor Regression Meets Gaussian Processes AISTATS 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Efficient and principled score estimation with Nyström kernel exponential families AISTATS 2018