Video Lectures AllHistorical StudiesMathematicsNatural SciencesSocial ScienceProspects in Theoretical PhysicsWomen and MathematicsFriends of the InstituteMore search optionsTitleYearTags Separate tags with a comma. SpeakerItems per page5102550Sort byDate AscDate DescTitle AscTitle Descvideo lecture Incidence estimates with application to Fourier analysis. October 02, 2019Hong Wang Read More video lecture Life in characteristic p (and how to escape it) October 02, 2019Remy van Dobben de Bruyn Read More video lecture Discrete Optimization Under Uncertainty. October 02, 2019Sahil Singla Read More video lecture Towards building a foundation of deep learning October 02, 2019Jason Lee Read More video lecture Distributional Aspects of Hecke Eigenforms October 02, 2019Raphael Steiner Read More video lecture Matrix Theory : Optimization, Concentration and Algorithms October 02, 2019Zhao Song Read More video lecture Rethinking Control October 02, 2019Elad Hazan Linear dynamical systems are a continuous subclass of reinforcement learning models that are widely used in robotics, finance, engineering, and meteorology. Classical control, since the works of Kalman, has focused on dynamics with Gaussian i.i.d... Read More video lecture History of Science Lecture Series October 01, 2019Adelheid Voskuhl Read More video lecture p-adic Hodge theory for local systems October 01, 2019Koji Shimizu Read More video lecture Proof and Circuit Complexity October 01, 2019Robert Robere Read More PaginationFirst page« FirstPrevious page‹ Previous… Page 244 Page 245 Page 246 Page 247 Current page 248 Page 249 Page 250 Page 251 Page 252…Next pageNext ›Last pageLast »
video lecture Incidence estimates with application to Fourier analysis. October 02, 2019Hong Wang Read More
video lecture Life in characteristic p (and how to escape it) October 02, 2019Remy van Dobben de Bruyn Read More
video lecture Matrix Theory : Optimization, Concentration and Algorithms October 02, 2019Zhao Song Read More
video lecture Rethinking Control October 02, 2019Elad Hazan Linear dynamical systems are a continuous subclass of reinforcement learning models that are widely used in robotics, finance, engineering, and meteorology. Classical control, since the works of Kalman, has focused on dynamics with Gaussian i.i.d... Read More