Monte Carlo Methods for Randomized Likelihood Decoding. - Alankrita Bhatt; Jiun-Ting Huang; Young-Han Kim 001; J. Jon Ryu; Pinar Sen (Allerton, 2018)

Variations on a Theme by Liu, Cuff, and Verdú: The Power of Posterior Sampling. - Alankrita Bhatt; Jiun-Ting Huang; Young-Han Kim 001; J. Jon Ryu; Pinar Sen (ITW, 2018)

Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. - J. Jon Ryu; Yoojin Choi; Young-Han Kim 001; Mostafa El-Khamy; Jungwon Lee (CoRR, 2019)

Feedback Recurrent Autoencoder. - Yang Yang 010; Guillaume Sautière; J. Jon Ryu; Taco S. Cohen (ICASSP, 2020)

On the Role of Eigendecomposition in Kernel Embedding. - J. Jon Ryu; Jiun-Ting Huang; Young-Han Kim 001 (ISIT, 2021)

Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting. - J. Jon Ryu; Alankrita Bhatt; Young-Han Kim 001 (CoRR, 2022)

One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification. - J. Jon Ryu; Young-Han Kim 001 (CoRR, 2022)

An Information-Theoretic Proof of the Kac-Bernstein Theorem. - J. Jon Ryu; Young-Han Kim 001 (CoRR, 2022)

Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform. - J. Jon Ryu; Shouvik Ganguly; Younghan Kim 001; Yung-Kyun Noh; Daniel D. Lee (IEEE Trans. Inf. Theory, 2022)

On Universal Portfolios with Continuous Side Information. - Alankrita Bhatt; J. Jon Ryu; Young-Han Kim 001 (AISTATS, 2023)

On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies. - J. Jon Ryu; Alankrita Bhatt (IEEE Trans. Inf. Theory, 2024)

Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing. - J. Jon Ryu; Jeongyeol Kwon; Benjamin Koppe; Kwang-Sung Jun (COLT, 2025)

Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems. - Minchan Jeong; J. Jon Ryu; Se-Young Yun; Gregory W. Wornell (CoRR, 2025)