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Insoon Yang 0
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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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141
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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
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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
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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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Insoon Yang 0
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March 23, 2023

[ICRA] Distributionally robust optimization with unscented transform for learning-based control

The paper "Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments"…
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Insoon Yang 0
5
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September 19, 2022

[NeurIPS] Improved regret analysis for variance-adaptive linear bandits

The paper "Improved regret analysis for variance-adaptive linear bandits and horizon-free linear mixture MDPs," co-authored…
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Insoon Yang 0
234
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September 19, 2022

[T-RO] Distributionally robust risk map for learning-based motion planning and control

The paper "Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming…
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Insoon Yang 0
5
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July 23, 2022

[CDC 2 papers] Distributionally robust partially observable control, Distributionally robust unit commitment

The papers "Wasserstein distributionally robust control of partially observable linear systems: Tractable approximation and performance…
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Insoon Yang 0
5
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July 23, 2022

[RA-L & IROS] Infusing MPC into meta-RL

The paper "Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments"…
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Insoon Yang 0
5
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May 27, 2022

[ICML] Accelerated gradient methods for geodesically convex optimization

The paper "Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence analysis" has…
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