Se-Young Yun
Publications 20
Instance-Optimal Estimation with Multiple LLM Judges on a Budget New
NeurIPS 2026
ICML 2026 CTB Workshop
· Best Paper Award (Long Paper track)
Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits New
NeurIPS 2026
CKAIA 2026
· Distinguished Paper Award
Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences New
NeurIPS 2026
ICML 2026 Pluralistic Alignment Workshop
CKAIA 2026
· Distinguished Paper Award
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
AISTATS 2026
Near-Optimal Clustering in Mixture of Markov Chains
AISTATS 2026
A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions
arXiv:2602.10971
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
NeurIPS 2025
FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
ICLR 2025
NeurIPS 2024 OWA Workshop
Probability-Flow ODE in Infinite-Dimensional Function Spaces
ICLR 2025 DeLTa Workshop
arXiv:2503.10219
Preliminary Empirical Study of Low-Rank, Hierarchical Gaussian Linear Bandits
KSC 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
NeurIPS 2024
ICML 2024 ARLET Workshop
· Oral
CKAIA 2024
· Best Paper Award
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
AISTATS 2024
On the Estimation of Linear Softmax Parametrized Markov Chains
KCC 2024
Empirical Analyses of Corruption in the Clustering of Block MDPs
KIISE Transactions on Computing Practices, vol. 30, no. 4, pp. 187–192 (2024)
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
NeurIPS 2023
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
OPODIS 2023
· Best Student Paper Award
Nearly Optimal Latent State Decoding in Block MDPs
AISTATS 2023
CKAIA 2022
· Best Paper Award
On the Estimation of Linear Softmax Parametrized Probability Distributions
KSC 2023
Preliminary Empirical Analyses of Clustering in Block MDPs
KSC 2022
· Distinguished Presentation Award
A Statistical Analysis of Stochastic Gradient Noises for GNNs
KCC 2022