Nathan Dahlin

4 papers · 2023–2025 · 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 · Bronze

Venues

AAAI (2) ICML (1) L4DC (1)

Top co-authors

Subhonmesh Bose (2) Rishabh Agrawal (2) Sina Sanjari (2) Rahul Jain (2) Ashutosh Nayyar (2) Boya Hou (2) Umesh Vaidya (1)

Research topics

Machine Learning (4) Core Methods (3) Learning Types (2) Optimization & Theory (2) Reinforcement Learning (1) Applications (1) Methods (1)

Keywords

reproducing kernel hilbert space (2) sample complexity (2) imitation learning (2) markov decision process (1) value iteration (1) kernel density estimation (1) offline learning (1) dynamical system (1) normalizing flow (1) operator learning (1) transfer operator (1) behavioral cloning (1) conditional density estimation (1) conditional mean embedding (1) decentralized learning (1) koopman operator (1) markov balance (1) conditional normalizing flow (1) transition dynamics estimation (1) markov balance equation (1)

Papers

Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025 Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces AAAI 2023 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023