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Hanbaek Lyu
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2020 – today
- 2024
- [j6]Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung
:
Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data. J. Sci. Comput. 100(2): 29 (2024) - [c8]Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu:
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization. ICML 2024 - [c7]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Supervised Matrix Factorization: Local Landscape Analysis and Applications. ICML 2024 - [c6]Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu:
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms. ICML 2024 - [c5]William G. Powell, Hanbaek Lyu:
Stochastic Optimization with Arbitrary Recurrent Data Sampling. ICML 2024 - [i20]William G. Powell, Hanbaek Lyu:
Stochastic optimization with arbitrary recurrent data sampling. CoRR abs/2401.07694 (2024) - [i19]Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu:
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization. CoRR abs/2402.07101 (2024) - 2023
- [j5]Hanbaek Lyu, Facundo Mémoli, David Sivakoff:
Sampling random graph homomorphisms and applications to network data analysis. J. Mach. Learn. Res. 24: 9:1-9:79 (2023) - [c4]Ahmet Alacaoglu, Hanbaek Lyu:
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data. ICML 2023: 458-489 - [c3]Dohyun Kwon, Hanbaek Lyu:
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning. ICML 2023: 18114-18134 - [c2]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Exponentially Convergent Algorithms for Supervised Matrix Factorization. NeurIPS 2023 - [i18]Dohyun Kwon, Hanbaek Lyu:
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning. CoRR abs/2306.02420 (2023) - [i17]Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung:
Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data. CoRR abs/2311.08636 (2023) - [i16]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Exponentially Convergent Algorithms for Supervised Matrix Factorization. CoRR abs/2311.11182 (2023) - [i15]Agam Goyal, Zhaoxing Wu, Richard P. Yim, Binhao Chen, Zihong Xu, Hanbaek Lyu:
A latent linear model for nonlinear coupled oscillators on graphs. CoRR abs/2311.14910 (2023) - 2022
- [j4]Hanbaek Lyu, Christopher Strohmeier, Deanna Needell:
Online Nonnegative CP-dictionary Learning for Markovian Data. J. Mach. Learn. Res. 23: 148:1-148:50 (2022) - [i14]Hanbaek Lyu:
Convergence and Complexity of Stochastic Block Majorization-Minimization. CoRR abs/2201.01652 (2022) - [i13]Ahmet Alacaoglu, Hanbaek Lyu:
Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization. CoRR abs/2203.15797 (2022) - [i12]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Supervised Dictionary Learning with Auxiliary Covariates. CoRR abs/2206.06774 (2022) - 2021
- [j3]Michael Damron, Hanbaek Lyu, David Sivakoff:
Stretched exponential decay for subcritical parking times on. Random Struct. Algorithms 59(2): 143-154 (2021) - [i11]Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, Mason A. Porter:
Learning low-rank latent mesoscale structures in networks. CoRR abs/2102.06984 (2021) - 2020
- [j2]Hanbaek Lyu:
Chromatic Number, Induced Cycles, and Non-separating Cycles. Graphs Comb. 36(5): 1297-1310 (2020) - [c1]Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier:
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. ITA 2020: 1-9 - [i10]Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell:
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF. CoRR abs/2004.09112 (2020) - [i9]Christopher Strohmeier, Hanbaek Lyu, Deanna Needell:
Online nonnegative tensor factorization and CP-dictionary learning for Markovian data. CoRR abs/2009.07612 (2020) - [i8]Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova
On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. CoRR abs/2010.01600 (2020) - [i7]Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier:
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. CoRR abs/2011.05384 (2020) - [i6]Hardeep Bassi, Richard P. Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu:
Learning to predict synchronization of coupled oscillators on heterogeneous graphs. CoRR abs/2012.14048 (2020)
2010 – 2019
- 2019
- [i5]Hanbaek Lyu, Facundo Mémoli, David Sivakoff:
Sampling random graph homomorphisms and applications to network data analysis. CoRR abs/1910.09483 (2019) - [i4]Hanbaek Lyu, Deanna Needell, Laura Balzano:
Online matrix factorization for Markovian data and applications to Network Dictionary Learning. CoRR abs/1911.01931 (2019) - [i3]Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou:
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization. CoRR abs/1912.00315 (2019) - 2018
- [j1]Hanbaek Lyu:
Global Synchronization of Pulse-Coupled Oscillators on Trees. SIAM J. Appl. Dyn. Syst. 17(2): 1521-1559 (2018) - 2016
- [i2]Hanbaek Lyu:
Global synchronization of pulse-coupled oscillators on trees. CoRR abs/1604.08381 (2016) - 2014
- [i1]Hanbaek Lyu:
A Self-stabilizing Cellular Automata Model For Pulse-coupled Biological Oscillators. CoRR abs/1407.1103 (2014)
Coauthor Index
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last updated on 2024-10-15 20:45 CEST by the dblp team
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