Internal Program Activities Breadcrumb Home Programs & Events Internal Activities Upcoming Past View Events by Program - All - View Events by Program No Internal Activities yet. View Events by Program - All -Geometry of PolynomialsData Privacy: Foundations and Applications View Events by Program Problem Solving Day #2 Problem Solving Day #2 Geometry of Polynomials Differential privacy in practice Differential privacy in practice Data Privacy: Foundations and Applications Deirdre Mulligan (UC Berkeley) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Data Privacy: Foundations and Applications Safeguarding privacy in dynamic decision-making problems Safeguarding privacy in dynamic decision-making problems Data Privacy: Foundations and Applications Kuang Xu (Stanford) Bethe approximation is an optimization-based framework for approximating partition functions, with roots in statistical physics. *starts at 10:30 a.m. sharp* Bethe approximation is an optimization-based framework for approximating partition functions, with roots in statistical physics. *starts at 10:30 a.m. sharp* Geometry of Polynomials Nisheeth Vishnoi (Yale University) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Data Privacy: Foundations and Applications Clone of Combinatorial Hodge Theory for Matroids“ by Federico Ardila (SFSU) Clone of Combinatorial Hodge Theory for Matroids“ by Federico Ardila (SFSU) Geometry of Polynomials Combinatorial Hodge Theory for Matroids“ by Federico Ardila (SFSU) Combinatorial Hodge Theory for Matroids“ by Federico Ardila (SFSU) Geometry of Polynomials Statistical Physics, Markov Chains, and Programmable Matter *starts at 10:30 a.m. sharp* Statistical Physics, Markov Chains, and Programmable Matter *starts at 10:30 a.m. sharp* Geometry of Polynomials Sarah Cannon (UC Berkeley) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group) Data Privacy: Foundations and Applications Pagination First page First Previous page Previous Page 94 Page 95 Current page 96 Page 97 Page 98 Next page Next Last page Last
