Research
I am interested in the theories of learning, optimization, and complex
systems. I am currently working in online learning and large-scale optimization with logarithmic
loss.
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Learning and Optimization with Logarithmic Loss
Computing Augustin information via hybrid geodesically convex
optimization
Guan-Ren Wang,
Chung-En Tsai,
Hao-Chung Cheng, and
Yen-Huan Li
NOPTA 2024; ISIT 2024
arXiv
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poster
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Fast minimization of expected logarithmic loss via stochastic
dual averaging
Chung-En Tsai,
Hao-Chung Cheng, and
Yen-Huan Li
QIP 2024; AISTATS 2024
proceedings
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arXiv
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poster
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poster
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Data-dependent bounds for online portfolio selection without
Lipschitzness and smoothness
Chung-En Tsai,
Ying-Ting Lin, and
Yen-Huan Li
NeurIPS 2023; NOPTA 2024
proceedings
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arXiv
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short
intro
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poster
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poster
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Faster stochastic first-order method for maximum-likelihood
quantum state tomography
Chung-En Tsai,
Hao-Chung Cheng, and
Yen-Huan Li
QIP 2023
arXiv
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Online self-concordant and relatively smooth minimization, with
applications to online portfolio selection and learning quantum states
Chung-En Tsai,
Hao-Chung Cheng, and
Yen-Huan Li
ALT 2023
proceedings
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arXiv
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talk
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Synchronization Theory
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