Hanbaek Lyu

According to our database1, Hanbaek Lyu authored at least 28 papers between 2014 and 2024.

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Bibliography

2024
Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data.
J. Sci. Comput., August, 2024

Interpretable online network dictionary learning for inferring long-range chromatin interactions.
PLoS Comput. Biol., 2024

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales.
Frontiers Appl. Math. Stat., 2024

Stochastic Optimization with Arbitrary Recurrent Data Sampling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Supervised Matrix Factorization: Local Landscape Analysis and Applications.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On The Complexity of First-Order Methods in Stochastic Bilevel Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Sampling random graph homomorphisms and applications to network data analysis.
J. Mach. Learn. Res., 2023

A latent linear model for nonlinear coupled oscillators on graphs.
CoRR, 2023

Exponentially Convergent Algorithms for Supervised Matrix Factorization.
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.
Proceedings of the International Conference on Machine Learning, 2023

Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data.
Proceedings of the International Conference on Machine Learning, 2023

2022
Online Nonnegative CP-dictionary Learning for Markovian Data.
J. Mach. Learn. Res., 2022

Supervised Dictionary Learning with Auxiliary Covariates.
CoRR, 2022

Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization.
CoRR, 2022

Convergence and Complexity of Stochastic Block Majorization-Minimization.
CoRR, 2022

2021
Stretched exponential decay for subcritical parking times on.
Random Struct. Algorithms, 2021

Learning low-rank latent mesoscale structures in networks.
CoRR, 2021

2020
Chromatic Number, Induced Cycles, and Non-separating Cycles.
Graphs Comb., 2020

Learning to predict synchronization of coupled oscillators on heterogeneous graphs.
CoRR, 2020

On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics.
CoRR, 2020

Online nonnegative tensor factorization and CP-dictionary learning for Markovian data.
CoRR, 2020

COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF.
CoRR, 2020

Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data.
Proceedings of the Information Theory and Applications Workshop, 2020

2019
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization.
CoRR, 2019

Online matrix factorization for Markovian data and applications to Network Dictionary Learning.
CoRR, 2019

2018
Global Synchronization of Pulse-Coupled Oscillators on Trees.
SIAM J. Appl. Dyn. Syst., 2018

2014
A Self-stabilizing Cellular Automata Model For Pulse-coupled Biological Oscillators.
CoRR, 2014


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