Yen-Huan Li

Orcid: 0000-0003-2454-7249

According to our database1, Yen-Huan Li authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Computing Augustin Information via Hybrid Geodesically Convex Optimization.
CoRR, 2024

2023
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL.
CoRR, 2023

Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging.
CoRR, 2023

Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography.
CoRR, 2022

Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis.
CoRR, 2021

2020
An Online Algorithm for Maximum-Likelihood Quantum State Tomography.
CoRR, 2020

Online Positron Emission Tomography By Online Portfolio Selection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Convergence of the Exponentiated Gradient Method with Armijo Line Search.
J. Optim. Theory Appl., 2019

2018
Learning without Smoothness and Strong Convexity.
PhD thesis, 2018

Learning-Based Compressive MRI.
IEEE Trans. Medical Imaging, 2018

2016
Learning-Based Compressive Subsampling.
IEEE J. Sel. Top. Signal Process., 2016

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning data triage: Linear decoding works for compressive MRI.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Estimation error of the constrained lasso.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Composite Convex Minimization Involving Self-concordant-Like Cost Functions.
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sparsistency of 1-Regularized M-Estimators.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Barrier smoothing for nonsmooth convex minimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix.
IEEE Trans. Signal Process., 2012

A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems
CoRR, 2012

2011
Cramer-Rao Bound for Blind Channel Estimators in Redundant Block Transmission Systems
CoRR, 2011

2010
MIMO-OFDM PHY Integrated (MOPI) Scheme for Confidential Wireless Transmission.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

Adaptive Precoder Selection for Multicast/Broadcast Service in MIMO-OFDMA Systems.
Proceedings of the 71st IEEE Vehicular Technology Conference, 2010

2008
Performance Analysis of Type-II Hybrid ARQ Systems.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008


  Loading...