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Tiffany Cai

2 accepted papers

2025

Contextual Thompson Sampling via Generation of Missing Data

NeurIPS 2025poster

We introduce a framework for Thompson sampling (TS) contextual bandit algorithms, in which the algorithm's ability to quantify uncertainty and make decisions depends on the quality of a generative model that is learned offline. Instead of viewing uncertainty in the environment as arising from unobse…

Cited by 4SourceScholar
2021

Understanding Robustness in Teacher-Student Setting: A New Perspective

AISTATS 2021poster

Adversarial examples have appeared as a ubiquitous property of machine learning models where bounded adversarial perturbation could mislead the models to make arbitrarily incorrect predictions. Such examples provide a way to assess the robustness of machine learning models as well as a proxy for und…

Cited by 2SourcePDFScholar