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 [arXiv 2511.12063]
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) [arXiv 2502.14131]
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, Paper link
Ad Optimization
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025 [arXiv 2511.12063]
"Recommender system as an exploration coordinator: a bounded O(1) regret algorithm for large platforms", Enoch H Kang, P. R. Kumar, Allerton 2023, Paper Link
"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, Paper link
"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, Paper Link
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 [arXiv 2511.12063]
"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) [arXiv 2502.14131]
"Stability and generalization for Bellman residuals", Enoch H. Kang and Kyoungseok Jang, 2025 [arXiv 2508.18741]
"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) [arXiv 2502.14131]
"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, [Paper Link]
"Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework", by Enoch H. Kang* and Hema Yoganarasimhan, 2025 [arXiv 2511.12063]
"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, Paper link
"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, [Paper Link]