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2020 – today
- 2024
[c16]Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li:
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging. AISTATS 2024: 2908-2916- [c15]Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li:
Computing Augustin Information via Hybrid Geodesically Convex Optimization. ISIT 2024: 2532-2537 - [i16]Guan-Ren Wang, Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li:
Computing Augustin Information via Hybrid Geodesically Convex Optimization. CoRR abs/2402.02731 (2024) - [i15]Chung-En Tsai, Guan-Ren Wang, Hao-Chung Cheng, Yen-Huan Li:
Linear Convergence in Hilbert's Projective Metric for Computing Augustin Information and a Rényi Information Measure. CoRR abs/2409.02640 (2024) - 2023
- [c14]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: 1481-1483 - [c13]Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li:
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness. NeurIPS 2023 - [i14]Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li:
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness. CoRR abs/2305.13946 (2023) - [i13]Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li:
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging. CoRR abs/2311.02557 (2023) - [i12]Wei-Fu Tseng, Kai-Chun Chen, Zi-Hong Xiao, Yen-Huan Li:
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL. CoRR abs/2311.04237 (2023) - 2022
- [c12]Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li:
Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size. ISIT 2022: 252-257 - [i11]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 abs/2210.00997 (2022) - [i10]Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li:
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography. CoRR abs/2211.12880 (2022) - 2021
- [i9]Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li:
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size. CoRR abs/2109.06054 (2021) - [i8]Chien-Ming Lin, Hao-Chung Cheng, Yen-Huan Li:
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis. CoRR abs/2110.00747 (2021) - 2020
- [c11]Yen-Huan Li:
Online Positron Emission Tomography By Online Portfolio Selection. ICASSP 2020: 1110-1114 - [i7]Chien-Ming Lin, Yu-Min Hsu, Yen-Huan Li:
An Online Algorithm for Maximum-Likelihood Quantum State Tomography. CoRR abs/2012.15498 (2020)
2010 – 2019
- 2019
- [j4]Yen-Huan Li
, Volkan Cevher:
Convergence of the Exponentiated Gradient Method with Armijo Line Search. J. Optim. Theory Appl. 181(2): 588-607 (2019) - 2018
- [b1]Yen-Huan Li:
Learning without Smoothness and Strong Convexity. EPFL, Switzerland, 2018 - [j3]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): 1394-1406 (2018) - [i6]Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. CoRR abs/1805.01266 (2018) - 2016
- [j2]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): 809-822 (2016) - [c10]Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher:
Estimation error of the constrained lasso. Allerton 2016: 433-438 - [c9]Yen-Huan Li, Volkan Cevher:
Learning data triage: Linear decoding works for compressive MRI. ICASSP 2016: 4034-4038 - [c8]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: 6230-6234 - [i5]Yen-Huan Li, Volkan Cevher:
Learning Data Triage: Linear Decoding Works for Compressive MRI. CoRR abs/1602.00734 (2016) - 2015
- [c7]Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher:
Sparsistency of 1-Regularized M-Estimators. AISTATS 2015 - [c6]Yen-Huan Li, Volkan Cevher:
Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression. ICASSP 2015: 3606-3610 - [c5]Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher:
Composite Convex Minimization Involving Self-concordant-Like Cost Functions. MCO (1) 2015: 155-168 - [i4]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher:
Learning-based Compressive Subsampling. CoRR abs/1510.06188 (2015) - 2014
- [c4]Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher:
Barrier smoothing for nonsmooth convex minimization. ICASSP 2014: 1503-1507 - 2012
- [j1]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): 5532-5536 (2012) - [i3]Yen-Huan Li, Borching Su, Ping-Cheng Yeh:
A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems. CoRR abs/1209.4207 (2012) - 2011
- [i2]Yen-Huan Li, Borching Su, Ping-Cheng Yeh:
Cramer-Rao Bound for Blind Channel Estimators in Redundant Block Transmission Systems. CoRR abs/1102.1231 (2011) - [i1]Yen-Huan Li, Ping-Cheng Yeh:
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix. CoRR abs/1107.1944 (2011) - 2010
- [c3]Hsu-Chieh Hu, Yen-Huan Li, Ping-Cheng Yeh:
Adaptive Precoder Selection for Multicast/Broadcast Service in MIMO-OFDMA Systems. VTC Spring 2010: 1-5 - [c2]Jen-Po Cheng, Yen-Huan Li, Ping-Cheng Yeh, Chen-Mou Cheng:
MIMO-OFDM PHY Integrated (MOPI) Scheme for Confidential Wireless Transmission. WCNC 2010: 1-6
2000 – 2009
- 2008
- [c1]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: 1167-1172
Coauthor Index
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