Insoon Yang - RankMe

104 papers A* 6A 1C 5Journal 66Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret. L4DC Yeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang
2025	J	`jnl`	Distributionally Robust Kalman Filter. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2025	—	`conf`	Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments. CDC Jaeuk Shin, Jungjin Lee, Insoon Yang
2025	J	`jnl`	Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments. CoRR Jaeuk Shin, Jungjin Lee, Insoon Yang
2025	J	`jnl`	KoopCast: Trajectory Forecasting via Koopman Operators. CoRR Jungjin Lee, Jaeuk Shin, Gihwan Kim, Joonho Han, Insoon Yang
2025	—	`conf`	On the Steady-State Distributionally Robust Kalman Filter. CDC MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2025	J	`jnl`	On the Steady-State Distributionally Robust Kalman Filter. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2025	—	`conf`	Robust Continuous-Time Generation Scheduling under Power Demand Uncertainty: An Affine Decision Rule Approach. CDC Youngchae Cho, Insoon Yang, Takayuki Ishizaki
2025	J	`jnl`	Robust Continuous-Time Generation Scheduling under Power Demand Uncertainty: An Affine Decision Rule Approach. CoRR Youngchae Cho, Insoon Yang, Takayuki Ishizaki
2025	J	`jnl`	Sharpness-Aware Minimization Can Hallucinate Minimizers. CoRR Chanwoong Park, Uijeong Jang, Ernest K. Ryu, Insoon Yang
2024	J	`jnl`	Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach. Autom. Mingyu Park, Jaeuk Shin, Insoon Yang
2024	J	`jnl`	Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret. CoRR Yeoneung Kim, Gihun Kim, Insoon Yang
2024	J	`jnl`	Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach. IEEE Trans Autom. Sci. Eng. Giho Kim, Jaeuk Shin, Gihun Kim, Joonrak Kim, Insoon Yang
2024	J	`jnl`	Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods. CoRR Chanwoong Park, Youngchae Cho, Insoon Yang
2024	J	`jnl`	Multiparametric Analysis of Multi-Task Markov Decision Processes: Structure, Invariance, and Reducibility. IEEE Control. Syst. Lett. Jaeuk Shin, Insoon Yang
2024	—	`conf`	On task-relevant loss functions in meta-reinforcement learning. L4DC Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang
2024	J	`jnl`	Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. IEEE Trans. Control. Syst. Technol. Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang
2024	J	`jnl`	Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2024	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. IEEE Trans. Autom. Control. Astghik Hakobyan, Insoon Yang
2024	J	`jnl`	Wasserstein Distributionally Robust Regret Minimization. IEEE Control. Syst. Lett. Youngchae Cho, Insoon Yang
2023	A*	`conf`	Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels. NeurIPS Jungbin Kim, Insoon Yang
2023	—	`conf`	Data-Driven Stochastic Optimization Using Upper Confidence Bounds: Performance Guarantees and Distributional Robustness. CDC Youngchae Cho, Insoon Yang
2023	J	`jnl`	Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance. SIAM J. Control. Optim. Kihyun Kim, Insoon Yang
2023	J	`jnl`	Distributionally Robust Differential Dynamic Programming With Wasserstein Distance. IEEE Control. Syst. Lett. Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Distributionally Robust Differential Dynamic Programming with Wasserstein Distance. CoRR Astghik Hakobyan, Insoon Yang
2023	A*	`conf`	Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments. ICRA Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Distributionally Robust Risk Map for Learning-Based Motion Planning and Control: A Semidefinite Programming Approach. IEEE Trans. Robotics Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Maximum Entropy Optimal Control of Continuous-Time Dynamical Systems. IEEE Trans. Autom. Control. Jeongho Kim, Insoon Yang
2023	—	`conf`	On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems. CDC Yeoneung Kim, Gihun Kim, Insoon Yang
2023	J	`jnl`	On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR. CoRR Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang
2023	J	`jnl`	Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. CoRR Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang
2023	A*	`conf`	Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions. ICML Jungbin Kim, Insoon Yang
2023	J	`jnl`	Using affine policies to reformulate two-stage Wasserstein distributionally robust linear programs to be independent of sample size. CoRR Youngchae Cho, Insoon Yang
2022	A*	`conf`	Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis. ICML Jungbin Kim, Insoon Yang
2022	J	`jnl`	Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach. CoRR Mingyu Park, Jaeuk Shin, Insoon Yang
2022	A*	`conf`	Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. NeurIPS Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
2022	J	`jnl`	Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments. IEEE Robotics Autom. Lett. Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2022	—	`conf`	On Affine Policies for Wasserstein Distributionally Robust Unit Commitment. CDC Youngchae Cho, Insoon Yang
2022	J	`jnl`	On Affine Policies for Wasserstein Distributionally Robust Unit Commitment. CoRR Youngchae Cho, Insoon Yang
2022	J	`jnl`	On representation formulas for optimal control: A Lagrangian perspective. CoRR Yeoneung Kim, Insoon Yang
2022	J	`jnl`	Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin
2022	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. CoRR Astghik Hakobyan, Insoon Yang
2022	—	`conf`	Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CDC Astghik Hakobyan, Insoon Yang
2022	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CoRR Astghik Hakobyan, Insoon Yang
2022	J	`jnl`	Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. IEEE Trans. Robotics Astghik Hakobyan, Insoon Yang
2021	J	`jnl`	Distributional robustness in minimax linear quadratic control with Wasserstein distance. CoRR Kihyun Kim, Insoon Yang
2021	J	`jnl`	Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach. CoRR Astghik Hakobyan, Insoon Yang
2021	J	`jnl`	Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls. J. Mach. Learn. Res. Jeongho Kim, Jaeuk Shin, Insoon Yang
2021	J	`jnl`	Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. CoRR Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
2021	J	`jnl`	Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments. CoRR Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2021	—	`conf`	On Anderson Acceleration for Partially Observable Markov Decision Processes. CDC Melike Ermis, Mingyu Park, Insoon Yang
2021	J	`jnl`	On Anderson acceleration for partially observable Markov decision processes. CoRR Melike Ermis, Mingyu Park, Insoon Yang
2021	J	`jnl`	Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin
2021	—	`conf`	Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments. CDC Astghik Hakobyan, Insoon Yang
2021	J	`jnl`	Training Wasserstein GANs without gradient penalties. CoRR Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang
2021	J	`jnl`	Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach. IEEE Trans. Autom. Control. Insoon Yang
2020	J	`jnl`	A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces. J. Optim. Theory Appl. Insoon Yang
2020	—	`conf`	A Stochastic Consensus Method for Nonconvex Optimization on the Stiefel Manifold. CDC Jeongho Kim, Myeongju Kang, Dohyun Kim, Seung-Yeal Ha, Insoon Yang
2020	—	`conf`	A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks. SSCI Melike Ermis, Insoon Yang
2020	J	`jnl`	Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls. CoRR Jeongho Kim, Jaeuk Shin, Insoon Yang
2020	J	`jnl`	Hamilton-Jacobi-Bellman Equations for Maximum Entropy Optimal Control. CoRR Jeongho Kim, Insoon Yang
2020	—	`conf`	Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time. L4DC Jeongho Kim, Insoon Yang
2020	A	`conf`	Learning-Based Distributionally Robust Motion Control with Gaussian Processes. IROS Astghik Hakobyan, Insoon Yang
2020	J	`jnl`	Learning-based distributionally robust motion control with Gaussian processes. CoRR Astghik Hakobyan, Insoon Yang
2020	—	`conf`	Minimax Control of Ambiguous Linear Stochastic Systems Using the Wasserstein Metric. CDC Kihyun Kim, Insoon Yang
2020	J	`jnl`	Minimax control of ambiguous linear stochastic systems using the Wasserstein metric. CoRR Kihyun Kim, Insoon Yang
2020	J	`jnl`	Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization. IEEE Access Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, Insoon Yang
2020	J	`jnl`	Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization. CoRR Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, Insoon Yang
2020	—	`conf`	STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. IntelliSys (2) Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha
2020	J	`jnl`	Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach. CoRR Subin Huh, Insoon Yang
2020	J	`jnl`	Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. CoRR Astghik Hakobyan, Insoon Yang
2020	A*	`conf`	Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk. ICRA Astghik Hakobyan, Insoon Yang
2019	J	`jnl`	Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time. CoRR Jeongho Kim, Insoon Yang
2019	—	`conf`	On Improving the Robustness of Reinforcement Learning-based Controllers using Disturbance Observer. CDC Jeong Woo Kim, Hyungbo Shim, Insoon Yang
2019	J	`jnl`	Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization. IEEE Robotics Autom. Lett. Astghik Hakobyan, Gyeong Chan Kim, Insoon Yang
2019	J	`jnl`	Sample Efficient Home Power Anomaly Detection in Real Time Using Semi-Supervised Learning. IEEE Access Xinlin Wang, Insoon Yang, Sung-Hoon Ahn
2019	—	`conf`	Stochastic Subgradient Methods for Dynamic Programming in Continuous State and Action Spaces. CDC Sunho Jang, Insoon Yang
2019	J	`jnl`	Submodularity of Storage Placement Optimization in Power Networks. IEEE Trans. Autom. Control. Junjie Qin, Insoon Yang, Ram Rajagopal
2018	J	`jnl`	A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces. CoRR Insoon Yang
2018	J	`jnl`	A dynamic game approach to distributionally robust safety specifications for stochastic systems. Autom. Insoon Yang
2018	C	`conf`	Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk. ACC Samantha Samuelson, Insoon Yang
2018	J	`jnl`	Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk. CoRR Samantha Samuelson, Insoon Yang
2018	J	`jnl`	Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach. CoRR Insoon Yang
2017	J	`jnl`	A Convex Optimization Approach to Distributionally Robust Markov Decision Processes With Wasserstein Distance. IEEE Control. Syst. Lett. Insoon Yang
2017	J	`jnl`	A dynamic game approach to distributionally robust safety specifications for stochastic systems. CoRR Insoon Yang
2017	—	`conf`	Data-driven distributionally robust control of energy storage to manage wind power fluctuations. CCTA Samantha Samuelson, Insoon Yang
2017	—	`conf`	Distributionally robust stochastic control with conic confidence sets. CDC Insoon Yang
2017	J	`jnl`	Optimal Control of Conditional Value-at-Risk in Continuous Time. SIAM J. Control. Optim. Christopher W. Miller, Insoon Yang
2017	J	`jnl`	Variance-Constrained Risk Sharing in Stochastic Systems. IEEE Trans. Autom. Control. Insoon Yang, Duncan S. Callaway, Claire J. Tomlin
2016	J	`jnl`	Approximation Algorithms for Optimization of Combinatorial Dynamical Systems. IEEE Trans. Autom. Control. Insoon Yang, Samuel A. Burden, Ram Rajagopal, S. Shankar Sastry, Claire J. Tomlin
2016	J	`jnl`	Control of Supermarket Refrigeration Systems via Online Combinatorial Optimization. CoRR Insoon Yang, Sila Kiliccote, Ram Rajagopal, Claire J. Tomlin
2016	C	`conf`	Reducing electricity price volatility via stochastic storage control. ACC Insoon Yang, Asuman E. Ozdaglar
2016	—	`conf`	Submodularity of energy storage placement in power networks. CDC Junjie Qin, Insoon Yang, Ram Rajagopal
2015	C	`conf`	Indirect load control for electricity market risk management via risk-limiting dynamic contracts. ACC Insoon Yang, Duncan S. Callaway, Claire J. Tomlin
2015	J	`jnl`	Optimal Control of Conditional Value-at-Risk in Continuous Time. CoRR Christopher W. Miller, Insoon Yang
2015	J	`jnl`	Optimal Dynamic Contracts for a Large-Scale Principal-Agent Hierarchy: A Concavity-Preserving Approach. CoRR Christopher W. Miller, Insoon Yang
2014	—	`conf`	Direct load control for electricity market risk management via risk-limiting dynamic contracts. Allerton Insoon Yang, Duncan S. Callaway, Claire J. Tomlin
2014	C	`conf`	Dynamic contracts with partial observations: Application to indirect load control. ACC Insoon Yang, Duncan S. Callaway, Claire J. Tomlin
2014	J	`jnl`	Reaction-diffusion systems in protein networks: Global existence and identification. Syst. Control. Lett. Insoon Yang, Claire J. Tomlin
2014	—	`conf`	Utility learning model predictive control for personal electric loads. CDC Insoon Yang, Melanie Nicole Zeilinger, Claire J. Tomlin
2013	C	`conf`	Identification of surface tension in mean curvature flow. ACC Insoon Yang, Claire J. Tomlin
2013	—	`conf`	Infinitesimal interconnection variation in nonlinear networked systems. CDC Insoon Yang, Samuel Burden, S. Shankar Sastry, Claire J. Tomlin
2013	—	`conf`	One-shot computation of reachable sets for differential games. HSCC Insoon Yang, Sabine Becker-Weimann, Mina J. Bissell, Claire J. Tomlin
2013	—	`conf`	Regularization-based identification for level set equations. CDC Insoon Yang, Claire J. Tomlin