Bressan Marco

Counting Subgraphs in Somewhere Dense Graphs / M. Bressan, L. Ann Goldberg, K. Meeks, M. Roth. - In: SIAM JOURNAL ON COMPUTING. - ISSN 0097-5397. - 53:5(2024 Oct), pp. 1409-1438. [10.1137/22m1535668]

Efficient Streaming Algorithms for Graphlet Sampling / Y. Bourreau, M. Bressan, T. Hubert Chan, Q. Kuang, M. Sozio (ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS). - In: Advances in Neural Information Processing Systems 37 / [a cura di] A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, C. Zhang. - [s.l] : Neural Information Processing Systems Foundation, 2024. - ISBN 9798331314385. - pp. 1-30 (( Intervento presentato al 38. convegno Conference on Neural Information Processing Systems (NeurIPS 2024) tenutosi a Vancouver nel 2024.

Margin-based active learning of classifiers / M. Bressan, N. Cesa Bianchi, S. Lattanzi, A. Paudice. - In: JOURNAL OF MACHINE LEARNING RESEARCH. - ISSN 1532-4435. - 25:127(2024), pp. 1-45.

A Theory of Interpretable Approximations / M. Bressan, N. Cesa Bianchi, E. Esposito, Y. Mansour, S. Moran, M. Thiessen (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: The Thirty Seventh Annual Conference on Learning Theory / [a cura di] S. Agrawal, A. Roth. - [s.l] : PMLR, 2024. - pp. 648-668 (( Intervento presentato al 37. convegno Conference on Learning Theory tenutosi a Edmonton nel 2024.

Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees / M. Bressan, M. Sozio (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: Proceedings of Machine Learning Research / [a cura di] Salakhutdinov R., Kolter Z., Heller K., Weller A., Oliver N., Scarlett J., Berkenkamp F.. - [s.l] : ML Research Press, 2024. - pp. 4517-4541 (( Intervento presentato al 41. convegno ICML International Conference on Machine Learning tenutosi a Vienna, Austria nel 2024.