基本信息
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职业迁徙
个人简介
Research
My research interests lie at the intersection of distribution shift, representation learning and causality. This often involves exploring different ways to deal with distribution shift such as domain generalization, domain adaptation, and causal/disentangled representation learning. I am also excited by methods for causal structure learning and (Bayesian) experimental design, and how they may be used to accelerate scientific discoveries.
My research interests lie at the intersection of distribution shift, representation learning and causality. This often involves exploring different ways to deal with distribution shift such as domain generalization, domain adaptation, and causal/disentangled representation learning. I am also excited by methods for causal structure learning and (Bayesian) experimental design, and how they may be used to accelerate scientific discoveries.
研究兴趣
论文共 9 篇作者统计合作学者相似作者
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CoRR (2023)
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"I Can't Believe It's Not Better!" Workshop Series (ICBINB)pp.33-40, (2021)
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D-Core
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