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07/23/2023
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty
Bayesian inference is often utilized for uncertainty quantification task...
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06/02/2022
Excess risk analysis for epistemic uncertainty with application to variational inference
We analyze the epistemic uncertainty (EU) of supervised learning in Baye...
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06/09/2021
Loss function based second-order Jensen inequality and its application to particle variational inference
Bayesian model averaging, obtained as the expectation of a likelihood fu...
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03/10/2020
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
The Gaussian process bandit is a problem in which we want to find a maxi...
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05/21/2018
Frank-Wolfe Stein Sampling
In Bayesian inference, the posterior distributions are difficult to obta...
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10/18/2017
Variational Inference based on Robust Divergences
Robustness to outliers is a central issue in real-world machine learning...
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05/25/2017