Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States CE Tsai, HC Cheng, YH Li International Conference on Algorithmic Learning Theory, 1481-1483, 2023 | 11 | 2023 |
Data-dependent bounds for online portfolio selection without Lipschitzness and smoothness CE Tsai, YT Lin, YH Li Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Computing Augustin Information via Hybrid Geodesically Convex Optimization GR Wang, CE Tsai, HC Cheng, YH Li arXiv preprint arXiv:2402.02731, 2024 | 3 | 2024 |
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography CE Tsai, HC Cheng, YH Li arXiv preprint arXiv:2211.12880, 2022 | 3 | 2022 |
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging CE Tsai, HC Cheng, YH Li International Conference on Artificial Intelligence and Statistics, 2908-2916, 2024 | 2 | 2024 |
Linear Convergence in Hilbert's Projective Metric for Computing Augustin Information and a R\'{e} nyi Information Measure CE Tsai, GR Wang, HC Cheng, YH Li arXiv preprint arXiv:2409.02640, 2024 | | 2024 |
On the Synchronization Analysis of a Strong Competition Kuramoto Model CH Hsia, CE Tsai arXiv preprint arXiv:2404.01000, 2024 | | 2024 |