conftrace_

posterior predictive

19 papers

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Co-occurring keywords

bayesian inference (1907) gaussian process (1200) uncertainty quantification (1393) uncertainty estimation (648) bayesian model (59) markov chain monte carlo (725) ensemble learning (1274) variational inference (2069) bayesian online change point (1) radar tracking (2)

Papers

On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Estimating the Hallucination Rate of Generative AI NIPS 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NIPS 2023
Approximately Bayes-optimal pseudo-label selection UAI 2023
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022
Diagnostics for conditional density models and Bayesian inference algorithms UAI 2021
Post-hoc loss-calibration for Bayesian neural networks UAI 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021
Conformal Bayesian Computation NIPS 2021
Direct Loss Minimization for Sparse Gaussian Processes AISTATS 2021
Bayesian Deep Ensembles via the Neural Tangent Kernel NIPS 2020
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Conditionally Independent Multiresolution Gaussian Processes AISTATS 2019
The Functional Neural Process NIPS 2019
Bayesian Deconditional Kernel Mean Embeddings ICML 2019
Bayesian dark knowledge NIPS 2015
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NIPS 2013
Bayesian Ensemble Learning NIPS 2006