Junhyun Nam

According to our database, Junhyun Nam authored at least 6 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles.

Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.

Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

CoRR, 2022

Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.

Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Learning from Failure: Training Debiased Classifier from Biased Classifier.

Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

CoRR, 2020

Learning from Failure: De-biasing Classifier from Biased Classifier.

Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Contextual Multi-armed Bandits under Feature Uncertainty.

Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin

CoRR, 2017