Papers

Papers below are classified by topics and sorted in the chronological order.

Learning and optimization with logarithmic losses

1. 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
   

2. Faster stochastic first-order method for maximum-likelihood quantum state tomography
   Chung-En Tsai, Hao-Chung Cheng, and Yen-Huan Li
   QIP 2023
   

3. 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

4. Fast minimization of expected logarithmic loss via stochastic dual averaging
   Chung-En Tsai, Hao-Chung Cheng, and Yen-Huan Li
   AISTATS 2024; QIP 2024

5. Computing Augustin information via hybrid geodesically convex optimization
   Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, and Yen-Huan Li
   ISIT 2024; NOPTA 2024

6. Linear convergence in Hilbert's projective metric for computing Augustin information and a Rényi information measure
   Chung-En Tsai\(^\ast\), Guan-Ren Wang\(^\ast\), Hao-Chung Cheng, and Yen-Huan Li
   

Synchronization theory

1. On the synchronization analysis of a strong competition Kuramoto model
   Chun-Hsiung Hsia and Chung-En Tsai
   Annual Meeting of the Taiwanese Mathematical Society 2024