Rattana Pukdee

According to our database1, Rattana Pukdee authored at least 14 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reward Learning from Best-of-N Preference Data: Targets, Tradeoffs, and Design Principles.
CoRR, May, 2026

What Does Preference Learning Recover from Pairwise Comparison Data?
CoRR, February, 2026

2025
Learning from Interval Targets.
CoRR, October, 2025

Learning from weak labelers as constraints.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Consistent Recovery of Joint Distributions from Conditionals.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Bayesian Neural Networks with Domain Knowledge Priors.
CoRR, 2024

Spectrally Transformed Kernel Regression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Reliable Learning for Test-time Attacks and Distribution Shift.
CoRR, 2023

Learning with Explanation Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reliable learning in challenging environments.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Propagation with Weak Supervision.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Sharp asymptotics on the compression of two-layer neural networks.
Proceedings of the IEEE Information Theory Workshop, 2022

2021
Improving Transformation Invariance in Contrastive Representation Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021


  Loading...