Fast quantum state reconstruction via accelerated non-convex programming. - Junhyung Lyle Kim; George Kollias; Amir Kalev; Ken X. Wei; 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 001; Anastasios Kyrillidis (CoRR, 2021)

Provably Efficient Lottery Ticket Discovery. - Cameron R. Wolfe; Qihan Wang; Junhyung Lyle Kim; Anastasios Kyrillidis (CoRR, 2021)

Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. - Junhyung Lyle Kim; Panos Toulis; Anastasios Kyrillidis (L4DC, 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)

On the Error-Propagation of Inexact Deflation for Principal Component Analysis. - Fangshuo Liao; Junhyung Lyle Kim; Cruz Barnum; Anastasios Kyrillidis (CoRR, 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)

Adaptive Federated Learning with Auto-Tuned Clients. - Junhyung Lyle Kim; Mohammad Taha Toghani; César A. Uribe; Anastasios Kyrillidis (ICLR, 2024)

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

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm. - Junhyung Lyle Kim; Nai-Hui Chia; Anastasios Kyrillidis (CoRR, 2024)

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis. - Junhyung Lyle Kim; Gauthier Gidel; Anastasios Kyrillidis; Fabian Pedregosa (Trans. Mach. Learn. Res., 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)

Solving hidden monotone variational inequalities with surrogate losses. - Ryan D'Orazio; Danilo Vucetic; Zichu Liu; Junhyung Lyle Kim; Ioannis Mitliagkas; Gauthier Gidel (ICLR, 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, 2025)