Publications

• L. Schwartz, H. Flynn, G. Neu. Sparse Optimistic Information Directed Sampling. In Advances in Neural Information Processing Systems (NeurIPS), 2025.
• ^αS. Calo, A. Jonsson, G. Neu, L. Schwartz, J. Segovia-Aguas. Distances for Markov chains from sample streams. In Advances in Neural Information Processing Systems (NeurIPS), 2025.
• ^αS. Calo, A. Jonsson, G. Neu, L. Schwartz, J. Segovia-Aguas. Bisimulation Metrics Are Optimal Transport Distances, and Can Be Computed Efficiently. In Advances in Neural Information Processing Systems (NeurIPS), 2024.
• ^αG. Neu, M. Papini, L. Schwartz. Optimistic Information Directed Sampling. In Proceedings of the 36th Annual Conference on Learning Theory (COLT), pp. 3970-4006, 2024. Slides
• ^αG. Neu, J. Olkhovskaya, M. Papini, L. Schwartz. Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits. In Advances in Neural Information Processing Systems (NeurIPS), 2022.

^α Authors listed in alphabetical order.