Kim, Junhyung Lyle

11 publications

NeurIPS 2025 Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti

ICLR 2025 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

ICLR 2024 Adaptive Federated Learning with Auto-Tuned Clients Junhyung Lyle Kim, Taha Toghani, Cesar A Uribe, Anastasios Kyrillidis

TMLR 2024 How Much Pre-Training Is Enough to Discover a Good Subnetwork? Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

ICML 2024 On the Error-Propagation of Inexact Hotelling’s Deflation for Principal Component Analysis Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis

ICLRW 2024 Smoothness-Adaptive Sharpness-Aware Minimization for Finding Flatter Minima Hiroki Naganuma, Junhyung Lyle Kim, Anastasios Kyrillidis, Ioannis Mitliagkas

NeurIPSW 2024 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

TMLR 2024 When Is Momentum Extragradient Optimal? a Polynomial-Based Analysis Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa

ICMLW 2023 Adaptive Federated Learning with Auto-Tuned Clients via Local Smoothness Junhyung Lyle Kim, Taha Toghani, Cesar A Uribe, Anastasios Kyrillidis

L4DC 2022 Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis

NeurIPSW 2022 Momentum Extragradient Is Optimal for Games with Cross-Shaped Spectrum Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa