Yen-Huan Li

40 papers A* 1A 2B 6Misc 5Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Algorithms for Computing the Petz-Augustin Capacity.
CoRR
Chun-Neng Chu, Wei-Fu Tseng, Yen-Huan Li
2025 J jnl
A Linearly Convergent Algorithm for Computing the Petz-Augustin Information.
CoRR
Chun-Neng Chu, Wei-Fu Tseng, Yen-Huan Li
2025 B conf
Online Learning of Quantum States with Logarithmic Loss via VB-FTRL.
ALT
Wei-Fu Tseng, Kai-Chun Chen, Zi-Hong Xiao, Yen-Huan Li
2024 B conf
Computing Augustin Information via Hybrid Geodesically Convex Optimization.
ISIT
Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2024 J jnl
Computing Augustin Information via Hybrid Geodesically Convex Optimization.
CoRR
Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2024 A conf
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging.
AISTATS
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2024 J jnl
Linear Convergence in Hilbert's Projective Metric for Computing Augustin Information and a Rényi Information Measure.
CoRR
Chung-En Tsai, Guan-Ren Wang, Hao-Chung Cheng, Yen-Huan Li
2023 A* conf
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness.
NeurIPS
Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
2023 J jnl
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness.
CoRR
Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
2023 J jnl
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging.
CoRR
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2023 J jnl
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL.
CoRR
Wei-Fu Tseng, Kai-Chun Chen, Zi-Hong Xiao, Yen-Huan Li
2023 B conf
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States.
ALT
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2022 J jnl
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography.
CoRR
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2022 B conf
Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size.
ISIT
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
2022 J jnl
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States.
CoRR
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
2021 J jnl
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis.
CoRR
Chien-Ming Lin, Hao-Chung Cheng, Yen-Huan Li
2021 J jnl
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size.
CoRR
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
2020 J jnl
An Online Algorithm for Maximum-Likelihood Quantum State Tomography.
CoRR
Chien-Ming Lin, Yu-Min Hsu, Yen-Huan Li
2020 Misc conf
Online Positron Emission Tomography By Online Portfolio Selection.
ICASSP
Yen-Huan Li
2019 J jnl
Convergence of the Exponentiated Gradient Method with Armijo Line Search.
J. Optim. Theory Appl.
Yen-Huan Li, Volkan Cevher
2018 — —
Learning without Smoothness and Strong Convexity.
Yen-Huan Li
2018 J jnl
Learning-Based Compressive MRI.
CoRR
Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2018 J jnl
Learning-Based Compressive MRI.
IEEE Trans. Medical Imaging
Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2016 — conf
Estimation error of the constrained lasso.
Allerton
Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher
2016 Misc conf
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval.
ICASSP
Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
2016 J jnl
Learning Data Triage: Linear Decoding Works for Compressive MRI.
CoRR
Yen-Huan Li, Volkan Cevher
2016 Misc conf
Learning data triage: Linear decoding works for compressive MRI.
ICASSP
Yen-Huan Li, Volkan Cevher
2016 J jnl
Learning-Based Compressive Subsampling.
IEEE J. Sel. Top. Signal Process.
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
2015 — conf
Composite Convex Minimization Involving Self-concordant-Like Cost Functions.
MCO (1)
Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
2015 Misc conf
Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression.
ICASSP
Yen-Huan Li, Volkan Cevher
2015 J jnl
Learning-based Compressive Subsampling.
CoRR
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
2015 A conf
Sparsistency of 1-Regularized M-Estimators.
AISTATS
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher
2014 Misc conf
Barrier smoothing for nonsmooth convex minimization.
ICASSP
Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
2012 J jnl
A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems
CoRR
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
2012 J jnl
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix.
IEEE Trans. Signal Process.
Yen-Huan Li, Ping-Cheng Yeh
2011 J jnl
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix
CoRR
Yen-Huan Li, Ping-Cheng Yeh
2011 J jnl
Cramer-Rao Bound for Blind Channel Estimators in Redundant Block Transmission Systems
CoRR
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
2010 — conf
Adaptive Precoder Selection for Multicast/Broadcast Service in MIMO-OFDMA Systems.
VTC Spring
Hsu-Chieh Hu, Yen-Huan Li, Ping-Cheng Yeh
2010 B conf
MIMO-OFDM PHY Integrated (MOPI) Scheme for Confidential Wireless Transmission.
WCNC
Jen-Po Cheng, Yen-Huan Li, Ping-Cheng Yeh, Chen-Mou Cheng
2008 B conf
Performance Analysis of Type-II Hybrid ARQ Systems.
GLOBECOM
Yi-Hsuan Kao, Yen-Huan Li, Wang-An Lin, Hsu-Chieh Hu, Ping-Cheng Yeh