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Title

Title
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Y. Park Sheikh Salman Hassan Y. Tun Eui-nam Huh Walid Saad Choong Seon Hong 82 4 0 19 Jun 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization AlgorithmsInternational Conference on Machine Learning (ICML), 2024 Yuchen Li Laura Balzano Deanna Needell Hanbaek Lyu 126 1 0 05 May 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Nicolas Courty Rémi Flamary Pascal Frossard Titouan Vayer 233 9 0 03 Feb 2024
Stochastic optimization with arbitrary recurrent data samplingInternational Conference on Machine Learning (ICML), 2024 William G. Powell Hanbaek Lyu 170 1 0 15 Jan 2024
Block Majorization Minimization with Extrapolation and Application to $β$ -NMFSIAM Journal on Mathematics of Data Science (SIMODS), 2024 L. Hien Valentin Leplat Nicolas Gillis 186 3 0 12 Jan 2024
A latent linear model for nonlinear coupled oscillators on graphs Agam Goyal Zhaoxing Wu Richard P. Yim Binhao Chen Zihong Xu Hanbaek Lyu 127 0 0 25 Nov 2023
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Nicolas Courty 142 0 0 05 Oct 2023
Supervised Dictionary Learning with Auxiliary Covariates Joo-Hyun Lee Hanbaek Lyu W. Yao 135 1 0 14 Jun 2022

Title

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024

Choong Seon Hong

19 Jun 2024

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization AlgorithmsInternational Conference on Machine Learning (ICML), 2024

126

05 May 2024

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein

233

03 Feb 2024

Stochastic optimization with arbitrary recurrent data samplingInternational Conference on Machine Learning (ICML), 2024

William G. Powell

Hanbaek Lyu

170

15 Jan 2024

Block Majorization Minimization with Extrapolation and Application to

β

-NMFSIAM Journal on Mathematics of Data Science (SIMODS), 2024

L. Hien

Valentin Leplat

Nicolas Gillis

186

12 Jan 2024

A latent linear model for nonlinear coupled oscillators on graphs

127

25 Nov 2023

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein

142

05 Oct 2023

Supervised Dictionary Learning with Auxiliary Covariates

Joo-Hyun Lee

Hanbaek Lyu

W. Yao

135

14 Jun 2022

Title
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Y. Park Sheikh Salman Hassan Y. Tun Eui-nam Huh Walid Saad Choong Seon Hong 82 4 0 19 Jun 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization AlgorithmsInternational Conference on Machine Learning (ICML), 2024 Yuchen Li Laura Balzano Deanna Needell Hanbaek Lyu 126 1 0 05 May 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Nicolas Courty Rémi Flamary Pascal Frossard Titouan Vayer 233 9 0 03 Feb 2024
Stochastic optimization with arbitrary recurrent data samplingInternational Conference on Machine Learning (ICML), 2024 William G. Powell Hanbaek Lyu 170 1 0 15 Jan 2024
Block Majorization Minimization with Extrapolation and Application to $β$ -NMFSIAM Journal on Mathematics of Data Science (SIMODS), 2024 L. Hien Valentin Leplat Nicolas Gillis 186 3 0 12 Jan 2024
A latent linear model for nonlinear coupled oscillators on graphs Agam Goyal Zhaoxing Wu Richard P. Yim Binhao Chen Zihong Xu Hanbaek Lyu 127 0 0 25 Nov 2023
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Nicolas Courty 142 0 0 05 Oct 2023
Supervised Dictionary Learning with Auxiliary Covariates Joo-Hyun Lee Hanbaek Lyu W. Yao 135 1 0 14 Jun 2022

Title

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024

Choong Seon Hong

19 Jun 2024

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization AlgorithmsInternational Conference on Machine Learning (ICML), 2024

Yuchen Li

Laura Balzano