PI: Laura ToniScheme: Cisco Donation Developing efficient machine learning algorithms, specifically online sequential decision strategies, for automated network orchestrators that enableContinue Reading
08.01.2020: New paper accepted to AISTATS 2020 on “Laplacian-regularized graph bandits: Algorithms and theoretical analysis”. Well done Kaige! ArXiv: https://arxiv.org/abs/1907.05632. Abstract:Continue Reading
We will be attending the inaugural ‘AI and art futures symposium’, which will explore the interplay of art market futures,Continue Reading
PI: Laura ToniCollaborators: Royal Veterinary CollegeScheme: LiDO Program Using graph-based machine learning to infer structure and exploitation for prediction of protein-proteinContinue Reading
PI: Laura ToniPhD Student: Sephora Madjiheurem Using graph signal processing to improve the data-efficiency of reinforcement learning algorithms Description Classical reinforcementContinue Reading
PI: Laura ToniPhD Student: Silvia Rossi Using machine learning and signal processing techniques to optimize immersive communications. Description Immersive mediaContinue Reading
