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Insoon Yang

Insoon Yang 0
1
News
September 29, 2023

[NeurIPS] Analysis of ODE models for accelerated methods via positive semidefinite kernels

The paper “Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels,”…
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Insoon Yang 0
141
News
September 29, 2023

[CDC] 3 papers

The following three papers from our group have been accepted for presentation at the 62nd…
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Insoon Yang 0
0
2023
September 29, 2023

neurips23

Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels Jungbin Kim,…
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Insoon Yang 0
0
2023
September 29, 2023

t-ase23

Control of fab lifters via deep reinforcement learning: A semi-MDP approach Giho Kim, Jaeuk Shin,…
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Insoon Yang 0
0
2023
September 29, 2023

lcss23

Distributionally robust differential dynamic programming with Wasserstein distance Astghik Hakobyan, and Insoon Yang IEEE Control…
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Insoon Yang 0
0
2023
September 29, 2023

cdc23-2

Data-driven stochastic optimization using upper confidence bounds: Performance guarantees and distributional robustness Youngchae Cho, and…
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Insoon Yang 0
0
2023
September 29, 2023

cdc23-1

On concentration bounds for Bayesian identification of linear non-Gaussian systems Yeoneung Kim, Gihun Kim, and…
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Insoon Yang 0
0
2023
April 25, 2023

ICML2023

Unifying Nesterov’s accelerated gradient methods for convex and strongly convex objective functions Jungbin Kim, and…
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Insoon Yang 0
1
News
April 25, 2023

[ICML (Oral)] Unifying Nesterov’s AGM for convex and strongly convex objective functions

The paper "Unifying Nesterov’s accelerated gradient methods for convex and strongly convex objective functions" has…
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Insoon Yang 0
1
News
March 23, 2023

[SICON] Wasserstein linear quadratic control

The paper "Distributional robustness in minimax linear quadratic control with Wasserstein distance" has been published…
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