Description: Fioretto's Home Page
ai (8544) optimization (816) ml (522) trustworthy (290) fairness (113) university of virginia (44) differential privacy (11) ferdinando fioretto (2)
I am assistant professor in the EECS department at Syracuse University .
My work makes advances in foundational Artificial Intelligence (AI) research with focus on two key themes: AI for Science and Engineering. It develops the foundations to blend deep learning and combinatorial optimization to serve the resolution of complex scientific and engineering applications and creates novel ways to integrate knowledge, constraints, and physical principles into learning models. Responsible AI. It analyzes the equity of AI systems in support of decision-making and learning tasks, and it
I approach these directions by applying the tools and perspectives of optimization theory , differential privacy , and statistics to problems in decision-making and machine learning. For more details, please see my publications . My research is generously supported by the National Science Foundation (NSF) , Google , Amazon , and Syracuse University .
Third AAAI Workshop on Privacy-Preserving Artificial Intelligence
AAAI Workshop on Privacy-Preserving Artificial Intelligence
Fourth AAAI Workshop on Privacy-Preserving Artificial Intelligence
Fifth AAAI Workshop on Privacy-Preserving Artificial Intelligence
AAAI Workshop on Learnable Optimization (LEANOPT)