基本信息
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职业迁徙
个人简介
I am interested in efficient optimization approaches to machine learning problems, with a view towards robustness, scalability and accuracy. Most recently, I have worked on scalable metric learning (ECML '12), and previously on knowledge-based perceptrons (ANNIE '10) and bilevel SVM-based cross validation (Opt. Methods & Softw. '08).
I am also interested in incorporating expert advice and domain knowledge into learning. My work in this area has focused on online knowledge-based SVMs (ECML '10), expert's advice refinement for KBSVMs (NIPS '11) and natural advice-giving for inverse reinforcement learning (under review '13).
Specialties: Machine learning, specifically online learning, prior knowledge in SVMs, and inverse reinforcement learning; Optimization techniques, with emphasis on nonlinear and non-convex optimization; and bio-medical applications
研究兴趣
论文共 56 篇作者统计合作学者相似作者
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Frontiers in artificial intelligence (2023): 1029943
HCI (32)pp.45-61, (2021)
International Journal of Approximate Reasoningno. 1 (2020): 33-47
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