Hanbaek Lyu

According to our database, Hanbaek Lyu authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Complexity of First-Order Methods in Stochastic Bilevel Optimization.

Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu

CoRR, 2024

Stochastic optimization with arbitrary recurrent data sampling.

William G. Powell, Hanbaek Lyu

CoRR, 2024

2023

Sampling random graph homomorphisms and applications to network data analysis.

Hanbaek Lyu, Facundo Mémoli, David Sivakoff

J. Mach. Learn. Res., 2023

A latent linear model for nonlinear coupled oscillators on graphs.

Agam Goyal, Zhaoxing Wu, Richard P. Yim, Binhao Chen, Zihong Xu, Hanbaek Lyu

CoRR, 2023

Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data.

Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung

CoRR, 2023

Exponentially Convergent Algorithms for Supervised Matrix Factorization.

Joowon Lee, Hanbaek Lyu, Weixin Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning.

Dohyun Kwon, Hanbaek Lyu

Proceedings of the International Conference on Machine Learning, 2023

Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data.

Ahmet Alacaoglu, Hanbaek Lyu

Proceedings of the International Conference on Machine Learning, 2023

2022

Online Nonnegative CP-dictionary Learning for Markovian Data.

Hanbaek Lyu, Christopher Strohmeier, Deanna Needell

J. Mach. Learn. Res., 2022

Supervised Dictionary Learning with Auxiliary Covariates.

Joowon Lee, Hanbaek Lyu, Weixin Yao

CoRR, 2022

Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization.

Ahmet Alacaoglu, Hanbaek Lyu

CoRR, 2022

Convergence and Complexity of Stochastic Block Majorization-Minimization.

Hanbaek Lyu

CoRR, 2022

2021

Stretched exponential decay for subcritical parking times on.

Michael Damron, Hanbaek Lyu, David Sivakoff

Random Struct. Algorithms, 2021

Learning low-rank latent mesoscale structures in networks.

Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, Mason A. Porter

CoRR, 2021

2020

Chromatic Number, Induced Cycles, and Non-separating Cycles.

Hanbaek Lyu

Graphs Comb., 2020

Learning to predict synchronization of coupled oscillators on heterogeneous graphs.

Hardeep Bassi, Richard P. Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu

CoRR, 2020

On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics.

Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova

CoRR, 2020

Online nonnegative tensor factorization and CP-dictionary learning for Markovian data.

Christopher Strohmeier, Hanbaek Lyu, Deanna Needell

CoRR, 2020

COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF.

Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell

CoRR, 2020

Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data.

Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier

Proceedings of the Information Theory and Applications Workshop, 2020

2019

Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization.

Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou

CoRR, 2019

Online matrix factorization for Markovian data and applications to Network Dictionary Learning.

Hanbaek Lyu, Deanna Needell, Laura Balzano

CoRR, 2019

2018

Global Synchronization of Pulse-Coupled Oscillators on Trees.

Hanbaek Lyu

SIAM J. Appl. Dyn. Syst., 2018

2014

A Self-stabilizing Cellular Automata Model For Pulse-coupled Biological Oscillators.

Hanbaek Lyu

CoRR, 2014