Renbo Zhao

Orcid: 0000-0002-8226-9243

According to our database1, Renbo Zhao authored at least 20 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems.
J. Optim. Theory Appl., January, 2024

A Primal-Dual Smoothing Framework for Max-Structured Non-Convex Optimization.
Math. Oper. Res., 2024

2023
A generalized Frank-Wolfe method with "dual averaging" for strongly convex composite optimization.
Optim. Lett., September, 2023

Analysis of the Frank-Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier.
Math. Program., May, 2023

Convergence rate analysis of the multiplicative gradient method for PET-type problems.
Oper. Res. Lett., January, 2023

Efficient Event Series Data Modeling via First-Order Constrained Optimization.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems.
Math. Oper. Res., 2022

Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe.
CoRR, 2022

2019
An Optimal Algorithm for Stochastic Three-Composite Optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Unified Convergence Analysis of the Multiplicative Update Algorithm for Regularized Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2018

Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies.
IEEE Trans. Signal Process., 2018

Structured sparse <i>K</i>-means clustering via Laplacian smoothing.
Pattern Recognit. Lett., 2018

Stochastic Three-Composite Convex Minimization with a Linear Operator.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Online Nonnegative Matrix Factorization With Outliers.
IEEE Trans. Signal Process., 2017

Adversarial Top-K Ranking.
IEEE Trans. Inf. Theory, 2017

A Unified Framework for Stochastic Matrix Factorization via Variance Reduction.
CoRR, 2017

Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

A unified convergence analysis of the multiplicative update algorithm for nonnegative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online Nonnegative Matrix Factorization with General Divergences.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014
Soft constrained leading voice separation with music score guidance.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014


  Loading...