Taylan Kargin

4 papers · 2022–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ICML (2) COLT (1) L4DC (1)

Top co-authors

Babak Hassibi (3) Vikrant Malik (2) Joudi Hajar (2) Yingying Li (1) Animashree Anandkumar (1) Kamyar Azizzadenesheli (1) Jing Yu (1) Adam Wierman (1) Sahin Lale (1) Lauren Conger (1)

Research topics

Mathematics & Optimization (4) Optimization (4) Artificial Intelligence (2) Machine Learning (2) Robotics (2) Optimization & Theory (2) Systems (2) Reinforcement Learning (1) Bayesian & Probabilistic (1) Core AI (1) Mathematics (1) Methods (1)

Keywords

wasserstein distance (1) convex optimization (1) decision making (1) linear quadratic regulator (1) regret optimization (1) thompson sampling (1) non-asymptotic analysis (1) adaptive control (1) regret bound (1) uncertainty set (1) convergence rate (1) linear system (1) robust control (1) linear quadratic control (1) h-infinity norm (1) linear dynamical system (1) set-membership estimation (1) infinite horizon (1) distributionally robust control (1) stabilizable lqr (1)

Papers

Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024 Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis ICML 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022