Yang, Insoon

8 publications

L4DC 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret Yeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang

L4DC 2024 On Task-Relevant Loss Functions in Meta-Reinforcement Learning Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

NeurIPS 2023 Convergence Analysis of ODE Models for Accelerated First-Order Methods via Positive Semidefinite Kernels Jungbin Kim, Insoon Yang

ICML 2023 Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions Jungbin Kim, Insoon Yang

ICML 2022 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis Jungbin Kim, Insoon Yang

NeurIPS 2022 Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs Yeoneung Kim, Insoon Yang, Kwang-Sung Jun

JMLR 2021 Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls Jeongho Kim, Jaeuk Shin, Insoon Yang

L4DC 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time Jeongho Kim, Insoon Yang