Co-occurring keywords · papers mentioning both
Papers
Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
UAI 2026
Bayesian Score Calibration for Approximate Models
JMLR 2025
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NeurIPS 2023
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers
ACL 2022
UCCNLP@SMM4H’22:Label distribution aware long-tailed learning with post-hoc posterior calibration applied to text classification
COLING 2022
Posterior Calibrated Training on Sentence Classification Tasks
ACL 2020
Posterior Re-calibration for Imbalanced Datasets
NeurIPS 2020
Domain Agnostic Real-Valued Specificity Prediction
AAAI 2019
Differentially Private Bayesian Inference for Exponential Families
NeurIPS 2018
Proper losses for learning from partial labels
NeurIPS 2012