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Bayesian Inference

4,821 papers

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Papers

Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NIPS 2021
Knowledge-Adaptation Priors NIPS 2021
STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Bayesian Optimized Monte Carlo Planning AAAI 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications NIPS 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021
Black-box density function estimation using recursive partitioning ICML 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Variational Model-based Policy Optimization IJCAI 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021
The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021
Challenges and Opportunities in High Dimensional Variational Inference NIPS 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021
An MRF-UNet Product of Experts for Image Segmentation MIDL 2021
Post-hoc loss-calibration for Bayesian neural networks UAI 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking ACL 2021