Hongseok Namkoong

18 papers · 2016–2025 · 6 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (9)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (6) 👑 Triple Crown 🏆 Keyword Champion (2) 💎 Century Club (18) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (82) 🔥 Unstoppable (10)

Conferences

NIPS (9) ICML (4) ICLR (2) COLT (1) CVPR (1) JMLR (1)

Top co-authors

John C. Duchi (5) Aman Sinha (3) Steve Yadlowsky (2) Mike Li (2) Mitchell Wortsman (2) Simon Kornblith (2) Gabriel Ilharco (2) Rebecca Roelofs (2) John Duchi (2) Ali Farhadi (2)

Research topics

Applications (1)

Keywords

distributionally robust optimization (4) distribution shift (3) domain generalization (2) model ensemble (2) domain adaptation (2) stochastic gradient descent (2) covariate shift (2) empirical risk minimization (2) variance regularization (2) empirical likelihood (2) risk minimization (2) causal inference (2) transfer learning (1) policy optimization (1) risk management (1) reinforcement learning (1) active learning (1) robust optimization (1) data augmentation (1) adversarial learning (1)

Papers

PersonalLLM: Tailoring LLMs to Individual Preferences ICLR 2025 Adaptive Elicitation of Latent Information Using Natural Language ICML 2025 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024 On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NIPS 2023 Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time ICML 2022 Robust Fine-Tuning of Zero-Shot Models CVPR 2022 Evaluating model performance under worst-case subpopulations NIPS 2021 Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding NIPS 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Variance-based Regularization with Convex Objectives JMLR 2019 Fairness Without Demographics in Repeated Loss Minimization ICML 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NIPS 2018 Certifying Some Distributional Robustness with Principled Adversarial Training ICLR 2018 Generalizing to Unseen Domains via Adversarial Data Augmentation NIPS 2018 Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017 Variance-based Regularization with Convex Objectives NIPS 2017 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016