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

[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 been accepted for Oral presentation in the 40th International Conference on Machine Learning (ICML). Unifying Nesterov’s accelerated gradient methods for convex ...
[SICON] Wasserstein linear quadratic control

[SICON] Wasserstein linear quadratic control

The paper "Distributional robustness in minimax linear quadratic control with Wasserstein distance" has been published in the SIAM Journal on Control and Optimization. Distributional robustness in minimax linear quadratic control with Wasserstein distance by Kihyun Kim, ...
[ICRA] Distributionally robust optimization with unscented transform for learning-based control

[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" has been accepted for presentation in the 2023 IEEE International Conference on Robotics and Automation (ICRA). Distributionally Robust Optimization with Unscented ...
[NeurIPS] Improved regret analysis for variance-adaptive linear bandits

[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 by Yeoneung Kim and Kwang-Sung Jun, has been accepted to Advances in Neural Information Processing Systems (NeurIPS) ...
[T-RO] Distributionally robust risk map for learning-based motion planning and control

[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 approach" has been accepted for publication in the IEEE Transactions on Robotics. Distributionally robust risk map for learning-based motion planning and ...