基本信息
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职业迁徙
个人简介
"My main goal is to understand the principles of learning from data and use them to develop algorithms that can learn like living beings."
My current focus is on developing new algorithms to autonomously learn to percept, act, and reason throughout their lives, for which I have been working on sequential learning and exploration.
I work on problems in several areas of machine learning, such as approximate inference, deep learning, reinforcement learning, active learning, online learning, and reasoning in computer vision. In my recent works, I have worked on ideas from a wide range of fields, such as, optimization, Bayesian statistic, information geometry, signal processing, and control systems.
My current focus is on developing new algorithms to autonomously learn to percept, act, and reason throughout their lives, for which I have been working on sequential learning and exploration.
I work on problems in several areas of machine learning, such as approximate inference, deep learning, reinforcement learning, active learning, online learning, and reasoning in computer vision. In my recent works, I have worked on ideas from a wide range of fields, such as, optimization, Bayesian statistic, information geometry, signal processing, and control systems.
研究兴趣
论文共 45 篇作者统计合作学者相似作者
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ICLR 2023 (2022)
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Climate Adaptation and Resilience Across Scalespp.35-49, (2021)
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D-Core
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