Papers by Substantive Topics
Ad Optimization
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025
Consumer Analytics
"Empirical risk minimization for Inverse RL and Dynamic Discrete Choice models" by Enoch H. Kang*, Lalit Jain, and Hema Yoganarasimhan, 2025 (minor revision, Operations Research)
Platform Experimentation
"Is O (log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL", Enoch H. Kang* and P. R. Kumar, NeurIPS 2024
Ad Optimization
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025
"Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle", Enoch H Kang, P. R. Kumar, Allerton 2023
"Is O (log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL", Enoch H. Kang* and P. R. Kumar, NeurIPS 2024
"Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning", Enoch H. Kang, Taehwan Kwon, James R. Morrison, and Jinkyoo Park, NeurIPS 2022
Papers by Methodology
Self-improving AI agent
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025
"Empirical risk minimization for Inverse RL and Dynamic Discrete Choice models" by Enoch H. Kang*, Lalit Jain, and Hema Yoganarasimhan, 2025 (minor revision, Operations Research)
"Stability and generalization for Bellman residuals", Enoch H. Kang and Kyoungseok Jang, 2025
"Empirical risk minimization for Inverse RL and Dynamic Discrete Choice models" by Enoch H. Kang*, Lalit Jain, and Hema Yoganarasimhan, 2025 (minor revision, Operations Research)
"Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning", Enoch H. Kang, Taehwan Kwon, James R. Morrison, and Jinkyoo Park, NeurIPS 2022
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025
"Is O (log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL", Enoch H. Kang* and P. R. Kumar, NeurIPS 2024
"Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle", Enoch H Kang, P. R. Kumar, Allerton 2023