Insoon Yang
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🔥 Unstoppable · Bronze
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(4)
Machine Learning
(4)
Deep Learning
(3)
Reinforcement Learning
(3)
Methods
(3)
Optimization & Theory
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Mathematics
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
accelerated gradient method
(3)
convergence rate
(2)
regret bound
(2)
optimal control
(2)
markov decision process
(1)
thompson sampling
(1)
convex optimization
(1)
strongly convex
(1)
posterior sampling
(1)
linear quadratic regulator
(1)
value estimation
(1)
nesterov method
(1)
gradient descent
(1)
accelerated gradient
(1)
bayesian regret
(1)
strongly convex optimization
(1)
continuous time
(1)
dynamic programming
(1)
model-based learning
(1)
langevin dynamics
(1)
Papers
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret
L4DC 2025
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
NeurIPS 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
ICML 2023
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
ICML 2022
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
NeurIPS 2022
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
JMLR 2021
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
L4DC 2020