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Faculty of Mathematics

 
 

Seminars

Thursday 20 June 2019

Sinan Güntürk (Courant Institute of Mathematical Sciences; New York University)
Extracting bits from analog samples: in pursuit of optimality ASCW03 - Approximation, sampling, and compression in high dimensional problems

Sinan Güntürk (Courant Institute of Mathematical Sciences; New York University)
Extracting bits from analog samples: in pursuit of optimality ASCW03 - Approximation, sampling, and compression in high dimensional problems

Peter Richtarik (University of Edinburgh; King Abdullah University of Science and Technology (KAUST); Moscow Institute of Physics and Technology)
Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching ASCW03 - Approximation, sampling, and compression in high dimensional problems

Peter Richtarik (University of Edinburgh; King Abdullah University of Science and Technology (KAUST); Moscow Institute of Physics and Technology)
Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching ASCW03 - Approximation, sampling, and compression in high dimensional problems

Boris Kashin (Steklov Mathematical Institute, Russian Academy of Sciences ; Russian Academy of Sciences)
On some theorems on the restriction of operator to coordinate subspace ASCW03 - Approximation, sampling, and compression in high dimensional problems

Boris Kashin (Steklov Mathematical Institute, Russian Academy of Sciences ; Russian Academy of Sciences)
On some theorems on the restriction of operator to coordinate subspace ASCW03 - Approximation, sampling, and compression in high dimensional problems

Takuji Ishikawa (Tohoku University)
Biomechanics can provide a new perspective on microbiology

Yuan Xu (University of Oregon)
Orthogonal structure in and on quadratic surfaces ASCW03 - Approximation, sampling, and compression in high dimensional problems

Yuan Xu (University of Oregon)
Orthogonal structure in and on quadratic surfaces ASCW03 - Approximation, sampling, and compression in high dimensional problems

Gitta Kutyniok (Technische Universität Berlin)
Beating the Curse of Dimensionality: A Theoretical Analysis of Deep Neural Networks and Parametric PDEs ASCW03 - Approximation, sampling, and compression in high dimensional problems

Gitta Kutyniok (Technische Universität Berlin)
Beating the Curse of Dimensionality: A Theoretical Analysis of Deep Neural Networks and Parametric PDEs ASCW03 - Approximation, sampling, and compression in high dimensional problems

Friday 21 June 2019

Aicke Hinrichs (Johannes Kepler Universität)
How good is random information compared to optimal information? ASCW03 - Approximation, sampling, and compression in high dimensional problems