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Statistics estimation in neural network training: a recursive identification approach
Ruth Crasto,
Xuchan Bao
Roger Grosse
ICML 2023 Workshop on New Frontiers in Learning, Control, and Dynamical Systems
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Hessian Inertia in Neural Networks
Xuchan Bao,
Alberto Bietti,
Aaron Defazio,
Vivien Cabannes
ICML 2023 Workshop on High-dimensional Learning Dynamics
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Finding and Only Finding Differential Nash Equilibria by Both Pretending to be a Follower
Xuchan Bao,
Guodong Zhang
Transactions on Machine Learning Research (TMLR), 2023
Featured certification (awarded to papers that are very high quality, approximately equal to oral/spotlight in top-tier conferences)
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Learning to Elect
Cem Anil*,
Xuchan Bao*
NeurIPS, 2021
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A unified analysis of first-order methods for smooth games via integral quadratic constraints
Guodong Zhang,
Xuchan Bao,
Laurent Lessard,
Roger Grosse
JMLR, 2021
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Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger Grosse
NeurIPS, 2020
poster /
code
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Benchmarking model-based reinforcement learning
Tingwu Wang,
Xuchan Bao,
Clavera Ignasi,
Jerrick Hoang,
Yeming Wen,
Eric Langlois,
Shunshi Zhang,
Guodong Zhang,
Pieter Abbeel,
Jimmy Ba
arXiv pre-print
code
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Timbretron: A wavenet (cyclegan (cqt (audio))) pipeline for musical timbre transfer
Sicong Huang,
Qiyang Li,
Cem Anil,
Xuchan Bao,
Sageev Oore,
Roger B Grosse
ICLR, 2019
project page
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Deep neural networks for improved, impromptu trajectory tracking of quadrotors
Qiyang Li,
Jingxing Qian,
Zining Zhu,
Xuchan Bao,
Mohamed K Helwa,
Angela P Schoellig
ICRA, 2017
proceeding
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