Update src/CV.txt

src/CV.txt

@@ -1,4 +1,3 @@
-
 \documentclass[11pt,letterpaper]{article}
 
 \usepackage{geometry}
@@ -95,9 +94,16 @@
 }
 
 
+\usepackage{fancyhdr}
+\fancypagestyle{firstpage}{
+    \fancyhf{} 
+    \rhead{\small \textit{Last updated: \today}} 
+    \renewcommand{\headrulewidth}{0pt} 
+}
 
-\begin{document}
 
+\begin{document}
+\thispagestyle{firstpage}
 % Place name at left
 %\centerline{{\huge \name}}
 {\huge \name}
@@ -119,8 +125,7 @@ Seattle, WA 98195
     Email: {\tt ehwkang@uw.edu} \\
     \href{https://sites.google.com/view/hyunwookkang}{\tt
       https://sites.google.com/view/hyunwookkang} \\
-    \\ 
-%    Mobile:  (203) 645-8459 \\
+    Mobile:  (+1) 346-758-7331 \\
       \end{tabular}
 \end{minipage}
 }
@@ -128,8 +133,8 @@ Seattle, WA 98195
 \section*{Research Interests}
 
 \begin{CompactItemize2}
-\item \textbf{Computer Science methods for social science}: AI agents, AI alignment, Machine learning theory, Reinforcement learning theory, Game theory, Adaptive experimentation theory, Graph neural networks
-\item \textbf{Econometric methods for social science}: Dynamic Structural Models, Double/Debiased Machine Learning
+\item \textbf{Computer Science methods}: AI agents, AI alignment, Machine learning theory, Reinforcement learning theory, Adaptive experimentation theory, Graph neural networks
+\item \textbf{Econometric methods}: Dynamic Structural Models, Double/Debiased Machine Learning, Game theory
 \end{CompactItemize2}
 
 \section*{Education}
@@ -139,7 +144,9 @@ Seattle, WA 98195
 \item
 \begin{tabular}{@{}l@{}}
 University of Washington, Seattle \\
-\quad\quad\quad Ph.D. Candidate, Marketing, Expected 2027; M.S., Marketing, 2025
+\quad\quad\quad Ph.D. Candidate, Marketing, Expected 2027; M.S., Marketing, 2025 \\
+\quad\quad\quad\quad\quad\quad \textit{Chair:} \href{https://sites.google.com/view/hema-yoganarasimhan/bio}{Hema Yoganarasimhan} \\
+\quad\quad\quad\quad\quad\quad \textit{Committee:} \href{https://editorialexpress.com/jrust/papers.html}{John Rust}, \href{https://zikunye.com/}{Zikun Ye}
 \end{tabular}
 
 \item
@@ -164,16 +171,25 @@ Korea Advanced Institute of Science and Technology (KAIST), Daejeon \\
 
 \end{CompactItemize2}
 
+
+
+
+\section*{Job Market Paper}
+
+\begin{CompactEnumerate}
+
+\item [] \textbf{Kang, E. H.}, (2026) ``Personalized Alignment Revisited: the Fundamental Importance of User Diversity'',  \textit{Working paper.}
+\end{CompactEnumerate}
+
+
+
 \section*{Publications}
 
 \begin{CompactEnumerate}
 
-\item Kang, E. H., and Kumar, P. R., (2024) ``\href{https://papers.nips.cc/paper_files/paper/2024/hash/b5e5a6c0ab7078e5c21e7c9e46360480-Abstract-Conference.html}{Is O(log N) Practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL},'' {\it \textbf{Advances in Neural Information Processing Systems (NeurIPS)}}.
-\item Kang, E. H., and Kumar, P. R., (2023) ``\href{https://ieeexplore.ieee.org/document/10313452}{Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle},'' {\it \textbf{Allerton Conference on Communication, Control, and Computing}}.
-\item Kang, E. H., Kwon, T., Morrison, J. R., and Park, J., (2022) ``\href{https://papers.nips.cc/paper_files/paper/2022/hash/66ad22a4a1d2e6fe6f6f6581fadeedbc-Abstract-Conference.html}{Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning},'' {\it \textbf{Advances in Neural Information Processing Systems (NeurIPS)}}.
-\begin{CompactItemize2}
-\item Best Paper Runner Up, ICML 2022 GRL+ Workshop.
-\end{CompactItemize2}
+\item \textbf{Kang, E. H.}, and Kumar, P. R., (2024) ``\href{https://papers.nips.cc/paper_files/paper/2024/hash/b5e5a6c0ab7078e5c21e7c9e46360480-Abstract-Conference.html}{Is O(log N) Practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL},'' {\it Advances in Neural Information Processing Systems (NeurIPS)}.
+\item \textbf{Kang, E. H.}, and Kumar, P. R., (2023) ``\href{https://ieeexplore.ieee.org/document/10313452}{Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle},'' {\it Allerton Conference on Communication, Control, and Computing}.
+\item \textbf{Kang, E. H.}, Kwon, T., Morrison, J. R., and Park, J., (2022) ``\href{https://papers.nips.cc/paper_files/paper/2022/hash/66ad22a4a1d2e6fe6f6f6581fadeedbc-Abstract-Conference.html}{Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning},'' {\it Advances in Neural Information Processing Systems (NeurIPS)}.
 
 \end{CompactEnumerate}
 
@@ -182,43 +198,62 @@ Korea Advanced Institute of Science and Technology (KAIST), Daejeon \\
 \begin{CompactEnumerate}
 \setcounter{enumi}{3}
 
-\item Kang, E. H., Jain, L., and Yoganarasimhan, H., (2025) ``\href{https://arxiv.org/abs/2502.14131}{Empirical Risk Minimization for Inverse RL and Dynamic Discrete Choice Models},'' Invited for Minor Revision at {\it \textbf{Operations Research}}.
+\item \textbf{Kang, E. H.}, Yoganarasimhan, H., and Jain, L.  (2025) ``\href{https://arxiv.org/abs/2502.14131}{Empirical Risk Minimization for Inverse RL and Dynamic Discrete Choice Models},'' Invited for Minor Revision at {\it Operations Research}. 
 \begin{CompactItemize2}
 \item Main Track, Economics and Computation (EC), 2025.
 \item Invited tutorial talk (with John Rust), Econometric Society Summer School in Dynamic Structural Econometrics, 2025. Title: ``\href{https://www.youtube.com/watch?v=cYsyFJhsZmA&feature=youtu.be}{Structural Estimation and Reinforcement Learning}''
 \end{CompactItemize2}
 
-\item Kang, E. H., and Yoganarasimhan, H., (2025) ``\href{https://arxiv.org/pdf/2511.12063}{TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI},'' {\it Working Paper}.
+\item \textbf{Kang, E. H.,} and Yoganarasimhan, H., (2025) ``\href{https://arxiv.org/pdf/2511.12063}{TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI},'' {\it under review, {\textit{Management Science}}}.
+
+\item \textbf{Kang, E. H.,} and Jang, K., (2025) ``\href{https://arxiv.org/pdf/2508.18741}{Stability and Generalization for Bellman Residuals},'' {\it under review, \textit{NeurIPS 2026}}.
+
+\item  \textbf{Kang, E. H., }(2025) ``\href{https://arxiv.org/pdf/2512.21080}{LLM Personas as a Substitute for Field Experiments in Method Benchmarking},''  {\it under review, \textit{NeurIPS 2026}}
+
+
+\item Park, B., Park, M., \textbf{Kang, E. H.}$^*$, and Jang, K.$^*$, (2025) ``\href{https://drive.google.com/file/d/1W-6pLpPXafDeRpOFtpbfJAXVOBJNoQmd/view}{Globally Convergent Offline Reinforcement Learning with Smoothed Bellman Residual Minimization},'' {\it under review, \textit{NeurIPS 2026}}
 
-\item Kang, E. H., and Jang, K., (2025) ``\href{https://arxiv.org/pdf/2508.18741}{Stability and Generalization for Bellman Residuals},'' {\it Working Paper}.
 
-\item  Kang, E. H., (2025) ``\href{https://arxiv.org/pdf/2512.21080}{LLM Personas as a Substitute for Field Experiments in Method Benchmarking},''  {\it Working paper}. 
+\item \textbf{Kang, E. H.,} (2026) ``\href{https://arxiv.org/abs/2604.17207}{Demystifying the unreasonable effectiveness of online alignment methods,}'' {\it under review, \textit{NeurIPS 2026}}.
 
+\item \textbf{Kang, E. H.,} (2026) ``\href{https://arxiv.org/abs/2603.18563}{Reasonably Reasoning AI Agents Avoid Game-Theoretic Failures in Zero-Shot, Provably,}'' {\it Working Paper}.
 
-\item Park, B., Park, M., Kang, E. H., and Jang, K.,``\href{https://drive.google.com/file/d/1W-6pLpPXafDeRpOFtpbfJAXVOBJNoQmd/view}{Globally Convergent Offline Reinforcement Learning with Smoothed Bellman Residual Minimization},'' {\it Working paper.}.
 
-\item Kang, E. H., (2026) ``\href{https://drive.google.com/file/d/1DEf7nWGB-CG0mk4kA9oSrgZL-xHPgIGj/view?usp=sharing}{Reasonably Reasoning AI Agents Avoid Game-Theoretic Failures in Zero-Shot, Provably,}'' {\it Working Paper}.
+\item \textbf{Kang, E. H.,} (2026) ``\href{https://arxiv.org/abs/2605.09119}{Personalized Alignment Revisited: the Necessity and Sufficiency of User Diversity}'' {\it Working paper}.
 
-\item ``Personalized Online Alignment:
-The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
+\item \textbf{Kang, E. H.,} Jang, K., Park, B., (2026) ``\href{https://drive.google.com/file/d/1rmRWhqZFhSHUL1qNzfE51-HocLrNAzrw/view?usp=sharing}{An End-to-end Offline Reinforcement Learning Approach to Multi-turn Agentic Alignment}'', {\it Working paper}.
+
+\item ``Test and Self-Improve for Markov Sufficiency: An AI-driven Dynamic Measurement Framework for Long-Term Outcomes'' (Project with Adobe), {\it Working Manuscript, }.
 
 \item ``Causally Debiasing Unstructured Data using Representations In Language Models,'' {\it Working Manuscript}.
 
 
+\end{CompactEnumerate}
+
+\section*{Book chapters \& Lecture notes}
+
+
+\begin{CompactEnumerate}
+
+\item \textbf{Kang, E. H.,} (2026) ``\href{https://drive.google.com/file/d/1_r16iAzcdqw1rQQdkU-xL0OmoRk3BZQE/view}{A Lecture Note on Offline RL and IRL, Part I: Foundations of Offline Reinforcement Learning
+}''
 
+\item \textbf{Kang, E. H.,} (2026) ``\href{https://arxiv.org/abs/2605.30843}{A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
+}''
 
 \end{CompactEnumerate}
 
+
 \section*{Service}
 
 \begin{CompactItemize2}
 
 \item \begin{tabbing} Reviewer \\
-\quad\quad\quad Marketing Science \\
+%\quad\quad\quad Marketing Science \\
 \quad\quad\quad ACM Economics and Computation (2026) \\
 \quad\quad\quad ICLR (2026, 2025, 2024, 2023) \\
-\quad\quad\quad ICML (2025, 2024, 2023) \\
-\quad\quad\quad NeurIPS (2025, 2024, 2023, 2022) \\
+\quad\quad\quad ICML (2026, 2025, 2024, 2023) \\
+\quad\quad\quad NeurIPS (2026, 2025, 2024, 2023, 2022) \\
 \quad\quad\quad AISTATS (2023)
 \end{tabbing}
 
@@ -243,9 +278,36 @@ The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
 
 %\newpage
 
-\section*{Conference Talks}
+
+\section*{Conference Presentations}
 
 \begin{CompactItemize2}
+\item
+\begin{tabbing}
+    \href{https://arxiv.org/abs/2603.18563}{Reasonably Reasoning AI Agents Avoid Game-Theoretic Failures in Zero-Shot, Provably}.
+\\
+\quad\quad\quad ICLR MALGAI Workshop, 2026
+\end{tabbing}
+
+\item
+\begin{tabbing}
+\href{https://arxiv.org/pdf/2508.18741}{Stability and Generalization for Bellman Residuals}. \\
+\quad\quad\quad ICML Decision-Making from Offline Datasets to Online Adaptation Workshop, 2026
+\end{tabbing}
+
+\item
+\begin{tabbing}
+\href{https://drive.google.com/file/d/1W-6pLpPXafDeRpOFtpbfJAXVOBJNoQmd/view}{Globally Convergent Offline Reinforcement Learning with Smoothed Bellman Residual} \\
+\quad\quad\quad\quad \quad \href{https://drive.google.com/file/d/1W-6pLpPXafDeRpOFtpbfJAXVOBJNoQmd/view}{Minimization}. \\
+\quad\quad\quad ICML Decision-Making from Offline Datasets to Online Adaptation Workshop, 2026
+\end{tabbing}
+
+\item
+\begin{tabbing}
+\href{https://arxiv.org/pdf/2512.21080}{LLM Personas as a Substitute for Field Experiments in Method Benchmarking}. \\
+\quad\quad\quad ICML CTB (Combining Theory and Benchmarks) Workshop, 2026\\
+\quad\quad\quad Advances with Field Experiments (AFE) Conference, 2026
+\end{tabbing}
 
 \item
 \begin{tabbing}
@@ -253,13 +315,17 @@ The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
 \quad\quad\quad Stanford AI \& Marketing: New Methods and New Risks Conference, 2025 \\
 \quad\quad\quad Columbia AI/ML Conference, 2025
 \\
-\quad\quad\quad Frank M. Bass UTD-FORMS Conference, 2026 (Planned)
+\quad\quad\quad Frank M. Bass UTD-FORMS Conference, 2026
+\\
+\quad\quad\quad Symposium on Artificial Intelligence in Marketing, 2026
+\\
+\quad\quad\quad ICLR AI with Recursive Self-Improvement Workshop, 2026 
 \end{tabbing}
 
 \item
 \begin{tabbing}
 \href{https://arxiv.org/abs/2502.14131}{Empirical Risk Minimization for Inverse RL and Dynamic Discrete Choice Models}. \\
-\quad\quad\quad Economics and Computation (EC), 2025 \\
+\quad\quad\quad ACM Economics and Computation (EC), 2025 \\
 \quad\quad\quad The World Congress of the Econometric Society (ESWC), 2025 
 \end{tabbing}
 
@@ -268,7 +334,7 @@ The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
 \href{https://papers.nips.cc/paper_files/paper/2024/hash/b5e5a6c0ab7078e5c21e7c9e46360480-Abstract-Conference.html}{Is O(log N) Practical? Near-Equivalence Between Delay Robustness and Bounded Regret} \\
 \quad\quad\quad\quad \quad \href{https://papers.nips.cc/paper_files/paper/2024/hash/b5e5a6c0ab7078e5c21e7c9e46360480-Abstract-Conference.html}{in Bandits and RL} \\
 \quad\quad\quad NeurIPS, 2024 \\
-\quad\quad\quad NeurIPS ReALML Workshop, 2023 (Poster)
+\quad\quad\quad NeurIPS ReALML Workshop, 2023 
 \end{tabbing}
 
 \item
@@ -276,8 +342,8 @@ The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
 \href{https://ieeexplore.ieee.org/document/10313452}{Recommender System as an Exploration Coordinator: A Bounded O(1) Regret Algorithm} \\
 \quad\quad\quad\quad \quad \href{https://ieeexplore.ieee.org/document/10313452}{for Large Platforms} \\
 \quad\quad\quad Allerton Conference, 2023 (Oral) \\
-\quad\quad\quad ICML ReALML Workshop, 2022 (Poster) \\
-\quad\quad\quad RecSys Causality \& Sequential Decision-Making Workshop, 2022 (Oral)
+\quad\quad\quad ICML ReALML Workshop, 2022 \\
+\quad\quad\quad RecSys Causality \& Sequential Decision-Making Workshop, 2022 (Long Oral)
 \end{tabbing}
 
 \item
@@ -286,10 +352,53 @@ The Importance of User Diversity in Choice Modeling,'' {\it Working Manuscript}.
 \\
 \quad\quad\quad\quad \quad \href{https://papers.nips.cc/paper_files/paper/2022/hash/66ad22a4a1d2e6fe6f6f6581fadeedbc-Abstract-Conference.html}{Graph and Provable Auction-Fitted Q-learning}. \\
 \quad\quad\quad NeurIPS, 2022 \\
-\quad\quad\quad ICML GRL+ Workshop, 2022 (Oral, Best Paper Runner-Up)
+\quad\quad\quad ICML GRL+ Workshop, 2022 (Oral)
+\end{tabbing}
+
+\end{CompactItemize2}
+
+\section*{Honors and selections}
+
+\begin{CompactItemize2}
+
+\item
+\begin{tabbing}
+
+
+\textbf{Dean's achievement award}, Foster School of Business, 2026
+\end{tabbing}
+
+\item
+\begin{tabbing}
+
+\textbf{Selected Proposal}, MSI -- Adobe Initiative
+\\\quad\quad\quad ``Test and Self-Improve for Markov Sufficiency: An AI-driven Dynamic \\
+\quad\quad\quad\quad\quad\quad Measurement Framework for Long-Term Outcomes'', 2026
+\end{tabbing}
+\item
+\begin{tabbing}
+
+\textbf{Selected Scholar} (1 of 28 Post-doc and PhD candidates), AI and Economics (AIE)  \\
+\quad\quad\quad Summer Institute, Center for Applied Artificial Intelligence, Chicago Booth, 2026
+\\
+\quad\quad\quad (Sole marketing scholar selected)
+\end{tabbing}
+
+\item
+\begin{tabbing}
+\textbf{Gold Reviewer} (Top 25\%), International Conference on Machine Learning (ICML), 2026
+\end{tabbing}
+
+\item
+\begin{tabbing}
+\textbf{Best Paper Runner-Up}, ICML GRL+ Workshop, 2022
 \end{tabbing}
 
 \end{CompactItemize2}
 
+\section*{Immigration Status}
 
-\end{document}
+\begin{CompactItemize2}
+\item U.S. Permanent Residency (Green Card) Pending
+\end{CompactItemize2} 
+\end{document}