Yen-Huan Li

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Portfolio Selection

Convex Minimization

Asymptotic Analysis

Online Learning

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging. AISTATS (2024)
Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Computing Augustin Information via Hybrid Geodesically Convex Optimization. CoRR (2024)
Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness. CoRR (2023)
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States. ALT (2023)
Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness. NeurIPS (2023)
Wei-Fu Tseng, Kai-Chun Chen, Zi-Hong Xiao, Yen-Huan Li
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL. CoRR (2023)
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging. CoRR (2023)
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States. CoRR (2022)
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size. ISIT (2022)
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography. CoRR (2022)
Chien-Ming Lin, Hao-Chung Cheng, Yen-Huan Li
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis. CoRR (2021)
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size. CoRR (2021)
Yen-Huan Li
Online Positron Emission Tomography By Online Portfolio Selection. ICASSP (2020)
Chien-Ming Lin, Yu-Min Hsu, Yen-Huan Li
An Online Algorithm for Maximum-Likelihood Quantum State Tomography. CoRR (2020)
Yen-Huan Li, Volkan Cevher
Convergence of the Exponentiated Gradient Method with Armijo Line Search. J. Optim. Theory Appl. 181 (2) (2019)
Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
Learning-Based Compressive MRI. IEEE Trans. Medical Imaging 37 (6) (2018)
Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
Learning-Based Compressive MRI. CoRR (2018)
Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP (2016)
Yen-Huan Li, Volkan Cevher
Learning Data Triage: Linear Decoding Works for Compressive MRI. CoRR (2016)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Yen-Huan Li, Volkan Cevher
Learning data triage: Linear decoding works for compressive MRI. ICASSP (2016)
Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher
Estimation error of the constrained lasso. Allerton (2016)
Yen-Huan Li, Volkan Cevher
Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression. ICASSP (2015)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
Learning-based Compressive Subsampling. CoRR (2015)
Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
Composite Convex Minimization Involving Self-concordant-Like Cost Functions. MCO (1) (2015)
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher
Sparsistency of 1-Regularized M-Estimators. AISTATS (2015)
Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
Barrier smoothing for nonsmooth convex minimization. ICASSP (2014)
Yen-Huan Li, Ping-Cheng Yeh
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix. IEEE Trans. Signal Process. 60 (10) (2012)
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems CoRR (2012)
Yen-Huan Li, Ping-Cheng Yeh
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix CoRR (2011)
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
Cramer-Rao Bound for Blind Channel Estimators in Redundant Block Transmission Systems CoRR (2011)
Jen-Po Cheng, Yen-Huan Li, Ping-Cheng Yeh, Chen-Mou Cheng
MIMO-OFDM PHY Integrated (MOPI) Scheme for Confidential Wireless Transmission. WCNC (2010)
Hsu-Chieh Hu, Yen-Huan Li, Ping-Cheng Yeh
Adaptive Precoder Selection for Multicast/Broadcast Service in MIMO-OFDMA Systems. VTC Spring (2010)
Yi-Hsuan Kao, Yen-Huan Li, Wang-An Lin, Hsu-Chieh Hu, Ping-Cheng Yeh
Performance Analysis of Type-II Hybrid ARQ Systems. GLOBECOM (2008)