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Bayesian Inference

5,566 papers

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Papers

Scale-Invariant Infinite Hierarchical Topic Model ACL 2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023
Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection ACL 2023
UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation ACL 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023
The Fine Print on Tempered Posteriors ACML 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023
Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Langevin Diffusion Variational Inference AISTATS 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023