conftrace_

prior distribution

61 papers

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Co-occurring keywords

bayesian inference (1907) variational autoencoder (1288) posterior distribution (259) generative model (2892) uncertainty quantification (1393) pac-bayes bound (53) latent space (854) bayesian neural network (201) gaussian process (1200) variational inference (2069)

Papers

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025
Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025
Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Minimax-Bayes Reinforcement Learning AISTATS 2023
Thompson Sampling with Diffusion Generative Prior ICML 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023
Finite-Time Logarithmic Bayes Regret Upper Bounds NIPS 2023
Bayesian inference for vertex-series-parallel partial orders UAI 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023
Refined Mechanism Design for Approximately Structured Priors via Active Regression NIPS 2023
Coupled Variational Autoencoder ICML 2023
Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR INTERSPEECH 2022
Probing BERT’s priors with serial reproduction chains ACL 2022
BooVAE: Boosting Approach for Continual Learning of VAE NIPS 2021
How Tight Can PAC-Bayes be in the Small Data Regime? NIPS 2021
Variational Autoencoder with Learned Latent Structure AISTATS 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Learning to Ground Visual Objects for Visual Dialog EMNLP 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021