Min-hwan Oh
- EUGens: Efficient, Unified and General Dense Layers
- Exploration via Feature Perturbation in Contextual Bandits
- Infrequent Exploration in Linear Bandits
- Oracle-Efficient Combinatorial Semi-Bandits
- Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
- Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
- Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
- Thompson Sampling for Multi-Objective Linear Contextual Bandit
- Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
- True Impact of Cascade Length in Contextual Cascading Bandits