Jongha Jon Ryu

According to our database1, Jongha Jon Ryu authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model.
CoRR, June, 2025

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions.
CoRR, February, 2025

2024
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation.
CoRR, 2024

Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions.
CoRR, 2024

Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Group Fairness with Uncertain Sensitive Attributes.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Gambling-Based Confidence Sequences for Bounded Random Vectors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Operator SVD with Neural Networks via Nested Low-Rank Approximation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Group Fairness with Uncertainty in Sensitive Attributes.
CoRR, 2023

2022
From Information Theory to Machine Learning Algorithms: A Few Vignettes
PhD thesis, 2022


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