Junhyung Lyle Kim

According to our database, Junhyung Lyle Kim authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Anytime Training with Schedule-Free Spectral Optimization.

Anuj Apte, Pranav Deshpande, Niraj Kumar, Shouvanik Chakrabarti, Junhyung Lyle Kim

CoRR, May, 2026

Quantum Speedups for Group Relaxations of Integer Linear Programs.

Brandon Augustino, Dylan Herman, Guneykan Ozgul, Jacob Watkins, Atithi Acharya, Enrico Fontana, Junhyung Lyle Kim, Shouvanik Chakrabarti

CoRR, February, 2026

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm.

Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions.

Dylan Herman, Guneykan Ozgul, Anuj Apte, Junhyung Lyle Kim, Anupam Prakash, Jiayu Shen, Shouvanik Chakrabarti

CoRR, October, 2025

A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems.

Tyler Chen, Junhyung Lyle Kim, Archan Ray, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar

CoRR, August, 2025

On Speedups for Convex Optimization via Quantum Dynamics.

Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins, Enrico Fontana, Brandon Augustino, Junhyung Lyle Kim, Marco Pistoia

CoRR, March, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Solving hidden monotone variational inequalities with surrogate losses.

Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

How Much Pre-training Is Enough to Discover a Good Subnetwork?

Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

Trans. Mach. Learn. Res., 2024

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis.

Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa

Trans. Mach. Learn. Res., 2024

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis.

Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Federated Learning with Auto-Tuned Clients.

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis

IEEE Control. Syst. Lett., 2023

On the Error-Propagation of Inexact Deflation for Principal Component Analysis.

Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis

CoRR, 2023

2022

Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum.

Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa

CoRR, 2022

Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.

Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Provably Efficient Lottery Ticket Discovery.

Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

CoRR, 2021

Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.

Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis

CoRR, 2021

Fast quantum state reconstruction via accelerated non-convex programming.

Junhyung Lyle Kim, George Kollias, Amir Kalev, Ken X. Wei, Anastasios Kyrillidis

CoRR, 2021