Fall 2018

Foundations of Data Science Boot Camp

Aug. 27Aug. 31, 2018

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David Woodruff (Carnegie Mellon University; chair), Ken Clarkson (IBM Almaden), Ravi Kannan (Microsoft Research India), Michael Mahoney (International Computer Science Institute and UC Berkeley), Andrea Montanari (Stanford University), Santosh Vempala (Georgia Institute of Technology), Rachel Ward (University of Texas at Austin)

The Boot Camp is intended to acquaint program participants with the key themes of the program. It will consist of five days of tutorial presentations as follows:

Ravi Kannan (Microsoft Research India) - Foundations of Data Science
David Woodruff (CMU) - Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch
Ken Clarkson (IBM Almaden) - Sketching for Linear Algebra III: Randomized Hadamard, Kernel Methods
Rachel Ward (UT Austin) - First-Order Stochastic Optimization
Michael Mahoney (ICSI & UC Berkeley) - Sampling for Linear Algebra and Optimization
Fred Roosta (University of Queensland) - Stochastic Second Order Optimization Methods
Will Fithian (UC Berkeley) - Statistical Interference
Santosh Vempala (Georgia Tech) High Dimensional Geometry and Concentration
Ilias Diakonikolas (USC) - Algorithmic High Dimensional Robust Statistics
Ilya Razenshteyn (Microsoft Research) - Nearest Neighbor Methods
Michael Kapralov (EPFL) - Data Streams

Enquiries may be sent to the organizers datascience2018 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).

Registration is now CLOSED.