Junhyung Lyle Kim

22 papers A* 4Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm.
AAAI
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
2026 J jnl
Quantum Speedups for Group Relaxations of Integer Linear Programs.
CoRR
Brandon Augustino, Dylan Herman, Guneykan Ozgul, Jacob Watkins, Atithi Acharya, Enrico Fontana, Junhyung Lyle Kim, Shouvanik Chakrabarti
2025 J jnl
A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems.
CoRR
Tyler Chen, Junhyung Lyle Kim, Archan Ray, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar
2025 J jnl
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions.
CoRR
Dylan Herman, Guneykan Ozgul, Anuj Apte, Junhyung Lyle Kim, Anupam Prakash, Jiayu Shen, Shouvanik Chakrabarti
2025 J jnl
On Speedups for Convex Optimization via Quantum Dynamics.
CoRR
Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins, Enrico Fontana, Brandon Augustino, Junhyung Lyle Kim, Marco Pistoia
2025 A* conf
Solving hidden monotone variational inequalities with surrogate losses.
ICLR
Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
2024 J jnl
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm.
CoRR
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
2024 A* conf
Adaptive Federated Learning with Auto-Tuned Clients.
ICLR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2024 J jnl
How Much Pre-training Is Enough to Discover a Good Subnetwork?
Trans. Mach. Learn. Res.
Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
2024 A* conf
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis.
ICML
Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis
2024 J jnl
Solving Hidden Monotone Variational Inequalities with Surrogate Losses.
CoRR
Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
2024 J jnl
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis.
Trans. Mach. Learn. Res.
Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
2023 J jnl
Adaptive Federated Learning with Auto-Tuned Clients.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
IEEE Control. Syst. Lett.
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 J jnl
On the Error-Propagation of Inexact Deflation for Principal Component Analysis.
CoRR
Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis
2022 — conf
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.
L4DC
Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2022 J jnl
Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum.
CoRR
Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
2022 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2021 J jnl
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.
CoRR
Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2021 J jnl
Fast quantum state reconstruction via accelerated non-convex programming.
CoRR
Junhyung Lyle Kim, George Kollias, Amir Kalev, Ken X. Wei, Anastasios Kyrillidis
2021 J jnl
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.
CoRR
Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis
2021 J jnl
Provably Efficient Lottery Ticket Discovery.
CoRR
Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis