Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. - Yi-Shan Wu 003; Andrés R. Masegosa; Stephan Sloth Lorenzen; Christian Igel; Yevgeny Seldin (NeurIPS, 2021)

Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables. - Yi-Shan Wu 003; Yevgeny Seldin (NeurIPS, 2022)

Split-kl and PAC-Bayes-split-kl Inequalities. - Yi-Shan Wu 003; Yevgeny Seldin (CoRR, 2022)

If there is no underfitting, there is no Cold Posterior Effect. - Yijie Zhang; Yi-Shan Wu 003; Luis A. Ortega 001; Andrés R. Masegosa (CoRR, 2023)

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss. - Yi-Shan Wu 003; Yijie Zhang; Badr-Eddine Chérief-Abdellatif; Yevgeny Seldin (NeurIPS, 2024)

Probabilistic Actor-Critic: Learning to Explore with PAC-Bayes Uncertainty. - Bahareh Tasdighi; Nicklas Werge; Yi-Shan Wu 003; Melih Kandemir (CoRR, 2024)

Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning. - Bahareh Tasdighi; Nicklas Werge; Yi-Shan Wu 003; Melih Kandemir (CoRR, 2024)

The Cold Posterior Effect Indicates Underfitting, and Cold Posteriors Represent a Fully Bayesian Method to Mitigate It. - Yijie Zhang; Yi-Shan Wu 003; Luis A. Ortega 001; Andrés R. Masegosa (Trans. Mach. Learn. Res., 2024)

Deep Actor-Critics with Tight Risk Certificates. - Bahareh Tasdighi; Manuel Haussmann; Yi-Shan Wu 003; Andrés R. Masegosa; Melih Kandemir (CoRR, 2025)

ObjectRL: An Object-Oriented Reinforcement Learning Codebase. - Gulcin Baykal; Abdullah Akgül; Manuel Haussmann; Bahareh Tasdighi; Nicklas Werge; Yi-Shan Wu 003; Melih Kandemir (CoRR, 2025)

Directional Ensemble Aggregation for Actor-Critics. - Nicklas Werge; Yi-Shan Wu 003; Bahareh Tasdighi; Melih Kandemir (CoRR, 2025)