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Bayesian Inference

4,821 papers

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Papers

Slice Sampling Reparameterization Gradients NIPS 2021
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables IJCAI 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Top-k Ranking Bayesian Optimization AAAI 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain AISTATS 2021
Learning Bayesian Networks from Ordinal Data JMLR 2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NIPS 2021
Variational Bayesian Optimistic Sampling NIPS 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Distributional Depth-Based Estimation of Object Articulation Models CORL 2021
An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021
Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021
Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021
Variational inference with continuously-indexed normalizing flows UAI 2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021
Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021