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Jonathan Lee

17 papers · 2017–2025 · 9 venues · across top CS/AI venues

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Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (34) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (81)

Venues

AISTATS (4) ICML (4) CoRL (2) NeurIPS (2) AAAI (1) ECCV (1) EMNLP (1) OSDI (1) WACV (1)

Top co-authors

Aldo Pacchiano (6) Emma Brunskill (4) Ken Goldberg (3) Min Sun (2) Ofir Nachum (2) Quoc V Le (2) Jin-Cheng Jhang (2) Chin-Hsuan Wu (2) Michael Jordan (2) Yi-Hsuan Tsai (2)

Research topics

Machine Learning (13) Reinforcement Learning (9) Artificial Intelligence (8) Methods (8) Core AI (7) Learning Types (7) Optimization & Theory (7) Mathematics & Optimization (3) Learning Paradigms (3) Applications (2) Optimization (2) Computer Vision (1) Deep Learning (1) Robotics (1) Analysis (1)

Keywords

reinforcement learning (4) model selection (3) contextual bandit (3) policy learning (3) function approximation (3) imitation learning (2) map inference (2) off-policy learning (2) message passing (2) entropy regularization (2) regret bound (2) linear programming relaxation (2) in-context learning (1) theorem proving (1) mathematical reasoning (1) offline reinforcement learning (1) image segmentation (1) scene understanding (1) bayesian inference (1) benchmark evaluation (1)

Papers

Cost-Aware Near-Optimal Policy Learning AAAI 2025 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025 Towards Robust Mathematical Reasoning EMNLP 2025 uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images WACV 2025 Self-Training Room Layout via Geometry-aware Ray-casting ECCV 2024 Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023 Experiment Planning with Function Approximation NeurIPS 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 Model Selection in Batch Policy Optimization ICML 2022 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021 Accelerated Message Passing for Entropy-Regularized MAP Inference ICML 2020 Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference AISTATS 2020 Online Learning with Continuous Variations: Dynamic Regret and Reductions AISTATS 2020 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019 Proving the correct execution of concurrent services in zero-knowledge OSDI 2018 DART: Noise Injection for Robust Imitation Learning CoRL 2017