JUNHYUNG LYLE KIM
JUNHYUNG LYLE KIM
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Conference paper
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2022
2021
2019
Junhyung Lyle Kim
,
Mohammad Taha Toghani
,
César A. Uribe
,
Anastasios Kyrillidis
(2022).
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
.
Under review
.
Preprint
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)
.
Preprint
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)
.
Pdf
Cameron Wolfe
,
Qihan Wang
,
Junhyung Lyle Kim
,
Anastasios Kyrillidis
(2021).
Provably efficient lottery ticket discovery
.
Under review
.
Preprint
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
.
Preprint
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
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Junhyung Lyle Kim
,
Mikael Kuusela
(2019).
Undersmoothed uncertainty quantification for unfolding
.
Technical Report
.
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