1. Alquier, P. (2021). User-friendly introduction to PAC-Bayes bounds. CoRR, abs/2110.11216.
2. Ambroladze, A., Parrado-Hernández, E., & Shawe-Taylor, J. (2006). Tighter PAC-Bayes bounds. Advances in neural information processing systems (NIPS) (pp. 9–16). MIT Press.
3. Bégin, L., Germain, P., Laviolette, F., & Roy, J. (2014). PAC-Bayesian theory for transductive learning. In: International conference on artificial intelligence and statistics (AISTATS) (Vol. 33, pp. 105–113). JMLR.org.
4. Bégin, L., Germain, P., Laviolette, F., & Roy, J. (2016). PAC-Bayesian bounds based on the Rényi divergence. In: International conference on artificial intelligence and statistics (AISTATS) (Vol. 51, pp. 435–444). JMLR.org.
5. Biggs, F., & Guedj, B. (2021). Differentiable PAC-Bayes objectives with partially aggregated neural networks. Entropy, 23(10), 1280.