Recreational swims provide a fun and engaging way for children and parents to practice new skills, stay active, and enjoy quality time together in the pool with the MIT community.No Z Center (MIT Recreation - Zesiger Sports and Fitness Center) membership is required to participate.A parent or caregiver must accompany children in the water. Per Z Center policy, each adult may supervise up to two children at a time.Children must be at least 6 months old to join. If younger, they must be able to hold their head up comfortably. Registration is here. Only for MIT Spouses and Partners Connect members.

Davide Viviano (Harvard University)

Speaker: Shivam Nadimpalli (MIT)Title: Gaussian Polytope ApproximationAbstract: We study the approximability of high-dimensional convex sets by intersections of halfspaces, where the approximation quality is measured with respect to the standard Gaussian distribution and the complexity of an approximation is the number of halfspaces used.We establish a range of upper and lower bounds both for general convex sets and for specific natural convex sets that are of particular interest. We rely on techniques from many different areas, including classical results from convex geometry, Cramér-type bounds from probability theory, and—perhaps surprisingly—a range of topics from computational complexity theory, including computational learning theory, unconditional pseudorandomness, and the study of influences and noise sensitivity in the analysis of Boolean functions.Based on joint work with Anindya De and Rocco Servedio: https://arxiv.org/abs/2311.08575. ;

Sequentially Optimal Pricing Under Informational Robustness | Xiaosheng Mu (Princeton)

Speaker: Jörn Dunkel (MIT)Title: Model inference for active matterAbstract:Recent advances in live-imaging techniques provide dynamical data ranging from the cellular to the organism scale. Notwithstanding such experimental progress, quantitative mathematical models often remain lacking, even for moderately complex classes of biological systems. Here, I will survey our ongoing efforts to implement computational frameworks for inferring predictive dynamical equations from multi-scale imaging data. Example applications range from cell locomotion and neuromechanical control to collective swarming behaviors in animal groups.--*Tea will be at 4:00 pm in the 553 Lake Hall