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Bayesian Inference

4821 directly classified papers

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Papers

Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022
Random Effect Bandits AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Neural Contextual Bandits without Regret AISTATS 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NIPS 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NIPS 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization NIPS 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022
Do Language Models Understand Measurements? EMNLP 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation CVPR 2022
Pixel Screening Based Intermediate Correction for Blind Deblurring CVPR 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses CVPR 2022
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space EMNLP 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022
Learning Structured Gaussians To Approximate Deep Ensembles CVPR 2022