Events

27/03/2025 - 14:30 - ISBA C115 -  Clement Berenfeld (Institut national de recherche en sciences et technologies du numérique) Will give a presentation on : A causal framework for reliable membership inference attack evaluationAbstract :  Quantifying memorization is central for assessing privacy risks in machine learning.

28/05/2025 - 14:30 - ISBA C115 -  Swati Chandna (Birkbeck, University of London) Will give a presentation on : Understanding structure in networks observed with covariates via profile least squaresAbstract: Network data across various domains (e.g.

06/02/2026 - 09:00 - ISBA C115 - More information coming soonMathias Dah Fienon Title : "Dynamic risk-parity portfolio with independent components"Abstract:Portfolio diversification involves investing in many different securities and types of assets in order to mitigate risk and maximize returns. One approach to achieve such diversification is the factor-risk-parity model.

27/03/2025 - 14:30 - ISBA C115 -  Gianluca Bontempi (ULB) Will give a presentation on : Ethics2vec: aligning automatic agents and human preferencesAbstract :  Though intelligent agents are supposed to improve human experience (or make it more efficient), it is hard, from a human perspective, to grasp the ethical values that are explicitly or implicitly embedded in an

27/03/2025 - 08:30 - D.251 -  EOS workshopRegistrationProgram8h30 : Yevhen Havrylenko, Lausanne University(45 min)Synthetic tabular data for ratemaking: deep generative models vs imputation-based methodsActuarial ratemaking depends on high-quality data, yet access to such data is often limited by the cost of obtaining new data, privacy concerns, and competitive sensitivity.

10/04/2026 - 14:30 - ISBA C115 -  Dimitri Konen (University of Cambridge) Will give a presentation on : Inference in high-dimensional nonlinear and non-Gaussian modelsAbstract :  We consider the problem of performing statistical inference on the states of a nonlinear dynamical system, whose dynamics are governed by a nonlinear PDE, and corrupted by noise.