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26th April 2024
10:00 to 10:30 Registration
10:30 to 10:40 Welcome and Introduction Jorge Gonzalez-Cazares (National Autonomous University of Mexico (UNAM), IIMAS)
Sofia Sanz Del Pino (Isaac Newton Institute)
10:40 to 11:20 Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD Umut Simsekli (INRIA), (ENS - Paris)
11:20 to 11:35 Refreshment break
11:35 to 12:15 Generative Modelling Under Differential Privacy Sahra Ghalebikesabi (Google)
12:15 to 13:00 Lunch
13:00 to 13:35 Moderated discussion: Heavy tails and clipping: benefits and difficulties. Hao Ni (University College London), (The Alan Turing Institute)
13:35 to 14:15 Privacy with Synthetic Data: Applications and Developments Shinpei Nakamura (Yale University)
14:15 to 14:30 Refreshment break
14:30 to 15:10 Privacy Properties of Discrete Diffusion Models Vamsi Potluru (JP Morgan)
15:10 to 15:45 Moderated discussion: Differential privacy: strategies, benefits and limitations Bikramjit Das (Singapore University of Technology and Design)
15:45 to 16:00 Final Remarks and Close Jorge Gonzalez-Cazares (National Autonomous University of Mexico (UNAM), IIMAS)