Final project groups
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Group memberGroup memberGroup memberGroup member
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Neural Tangent KernelZeming LinBofei ZhangLei ChenShaoling Chen
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Depth separation
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Double descent
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PAC-Bayes
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Competitive optimization
(games, VI, applications like GANs, mirror-prox, extra-gradient)
Begum CigYunhan HuangZach MartinTeresa Ningyuan Huang
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Deep learning for PDEsYutao ZhongAnqi MaoTianyu Wang
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Graph neural networks
(approximation, optimization)
Yusu QianMuge ChenYibo LiuFei XU
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Bayesian NNs
(Bayes by backprop, Yarin Gal's work, etc)
Jiuhong XiaoHongyu LuSam Stanton
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Self-supervised learningPavel IzmailovSubhadarshi PandaMarina ZavalinaSerkan Karakulak
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Imitation learning
(behavior cloning, DAGGER, GAIL)
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Offline / batch RL (offline policy evaluation, connections to causal inference, etc)Wenbo SongJames BannonTao LiBrad Windsor
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Advanced topics on control
(path integral control, trajectory optimization, controller verification, relative entropy policy search)
Huaijiang ZhuDongdong LiuQinfeng ZhuMengdan Zhang
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Loss landscapes of neural networks
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Mean-field analysis of neural networksHongkang YangHe Li
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Learning dynamics of AutoencodersFrancis Williams
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Deep Generative ModelsRuoyi WangZijian Liu
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Model Based RLKaranbir Chahal
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