Publications

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis (2022). Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. Under review.

Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis (2022). Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. Learning for Dynamics and Control (L4DC) 2022 (forthcoming).

Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis (2021). Acceleration and Stability of the Stochastic Proximal Point Algorithm. Workshop on Optimization for Machine Learning, NeurIPS 2021 (spotlight).

Cameron Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis (2021). Provably efficient lottery ticket discovery. Under review.

Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron Wolfe, Zhiwei Zhang, Anastasios Kyrillidis (2021). Momentum-inspired low-rank coordinate descent for diagonally constrained SDPs. Under review.

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

Preprint Code Slides Blog Press

Junhyung Lyle Kim, Mikael Kuusela (2019). Undersmoothed uncertainty quantification for unfolding. Technical Report.

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