J. Jon Ryu

According to our database, J. Jon Ryu authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decocted Experience Improves Test-Time Inference in LLM Agents.

Maohao Shen, Kaiwen Zha, Zexue He, Zhang-Wei Hong, Siru Ouyang, J. Jon Ryu, Prasanna Sattigeri, Suhas N. Diggavi, Gregory W. Wornell

CoRR, April, 2026

2025

Revisiting Orbital Minimization Method for Neural Operator Decomposition.

J. Jon Ryu, Samuel Zhou, Gregory W. Wornell

CoRR, October, 2025

2024

On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies.

J. Jon Ryu, Alankrita Bhatt

IEEE Trans. Inf. Theory, October, 2024

2023

On Universal Portfolios with Continuous Side Information.

Alankrita Bhatt, J. Jon Ryu, Young-Han Kim

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

2022

Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform.

J. Jon Ryu, Shouvik Ganguly, Younghan Kim, Yung-Kyun Noh, Daniel D. Lee

IEEE Trans. Inf. Theory, 2022

An Information-Theoretic Proof of the Kac-Bernstein Theorem.

J. Jon Ryu, Young-Han Kim

CoRR, 2022

One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification.

J. Jon Ryu, Young-Han Kim

CoRR, 2022

Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting.

J. Jon Ryu, Alankrita Bhatt, Young-Han Kim

CoRR, 2022

2021

On the Role of Eigendecomposition in Kernel Embedding.

J. Jon Ryu, Jiun-Ting Huang, Young-Han Kim

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Feedback Recurrent Autoencoder.

Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning.

J. Jon Ryu, Yoojin Choi, Young-Han Kim, Mostafa El-Khamy, Jungwon Lee

CoRR, 2019

2018

Variations on a Theme by Liu, Cuff, and Verdú: The Power of Posterior Sampling.

Alankrita Bhatt, Jiun-Ting Huang, Young-Han Kim, J. Jon Ryu, Pinar Sen

Proceedings of the IEEE Information Theory Workshop, 2018

Monte Carlo Methods for Randomized Likelihood Decoding.

Alankrita Bhatt, Jiun-Ting Huang, Young-Han Kim, J. Jon Ryu, Pinar Sen

Proceedings of the 56th Annual Allerton Conference on Communication, 2018