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Jiaxiang Yi

2 accepted papers

2026

Cooperative variance estimation and Bayesian neural networks disentangle aleatoric and epistemic uncertainties

ICML 2026poster

Real-world data contains aleatoric uncertainty -- irreducible noise arising from imperfect measurements or from incomplete knowledge about the data generation process. Mean variance estimation (MVE) networks can learn this type of uncertainty but require ad-hoc regularization strategies to avoid ove…

Cited by 0SourceScholar
2024

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

AAAI 2024technical

Multi-objective Stochastic Linear bandit (MOSLB) plays a critical role in the sequential decision-making paradigm, however, most existing methods focus on the Pareto dominance among different objectives without considering any priority. In this paper, we study bandit algorithms under mixed Pareto-le…