Min-hwan Oh

About Min-hwan Oh

Min-hwan Oh, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Reinforcement Learning, Bandit Algorithms, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mixed-Effects Contextual Bandits

Learning Uncertainty-Aware Temporally-Extended Actions

Doubly Perturbed Task Free Continual Learning

Follow-the-Perturbed-Leader with Fr\'{e} chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds

Cascading Contextual Assortment Bandits

Uncertainty-Aware Action Repeating Options

Demystifying Linear MDPs and Novel Dynamics Aggregation Framework

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model

Min-hwan Oh Information

University

Position

___

Citations(all)

525

Citations(since 2020)

459

Cited By

193

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Min-hwan Oh Skills & Research Interests

Reinforcement Learning

Bandit Algorithms

Machine Learning

Top articles of Min-hwan Oh

Mixed-Effects Contextual Bandits

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Learning Uncertainty-Aware Temporally-Extended Actions

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Yunhao Tang
Yunhao Tang

H-Index: 9

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Doubly Perturbed Task Free Continual Learning

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Se Young Chun
Se Young Chun

H-Index: 18

Follow-the-Perturbed-Leader with Fr\'{e} chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds

arXiv preprint arXiv:2403.05134

2024/3/8

Cascading Contextual Assortment Bandits

Advances in Neural Information Processing Systems

2024/2/13

Uncertainty-Aware Action Repeating Options

2023/12/4

Yunhao Tang
Yunhao Tang

H-Index: 9

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Demystifying Linear MDPs and Novel Dynamics Aggregation Framework

2023/10/13

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model

2023/7/3

Model-based Offline Reinforcement Learning with Count-based Conservatism

2023/7

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Combinatorial Neural Bandits

2023/7

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Model-based reinforcement learning with multinomial logistic function approximation

Proceedings of the AAAI conference on artificial intelligence

2023/6/26

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits

2023/4/11

Personalized federated learning with server-side information

IEEE Access

2022/11/11

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Hyung-Sin Kim
Hyung-Sin Kim

H-Index: 16

Stochastic-expert variational autoencoder for collaborative filtering

2022/4/25

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Sparsity-Agnostic Lasso Bandit

2021/7/1

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Assaf Zeevi
Assaf Zeevi

H-Index: 31

Multinomial logit contextual bandits: Provable optimality and practicality

Proceedings of the AAAI conference on artificial intelligence

2021/5/18

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

Crowd counting with decomposed uncertainty

2020/2

Min-Hwan Oh
Min-Hwan Oh

H-Index: 7

See List of Professors in Min-hwan Oh University(Seoul National University)