Foundations of Data Science Boot Camp

Program

Foundations of Data Science

Location

Calvin Lab

Date

Monday, Aug. 27 – Friday, Aug. 31, 2018

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Click on the titles of individual talks for abstract, slides and archived video.

9 – 9:20 a.m.

Coffee and Check-In

9:20 – 9:30 a.m.

Opening Remarks

9:30 – 10:30 a.m.

Foundations of Data Science I

Ravi Kannan (Simons Institute, UC Berkeley)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Foundations of Data Science II

Ravi Kannan (Simons Institute, UC Berkeley)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch I

David Woodruff (Carnegie Mellon University)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch II

David Woodruff (Carnegie Mellon University)

4:30 – 6 p.m.

Welcome Reception

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Sketching for Linear Algebra III: Randomized Hadamard, Kernel Methods

Ken Clarkson (IBM Almaden)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

First-Order Stochastic Optimization

Rachel Ward, University of Texas at Austin

12 – 2 p.m.

Lunch

2 – 3 p.m.

Sampling for Linear Algebra, Statistics, and Optimization I

Michael Mahoney, International Computer Science Institute and UC Berkeley

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Sampling for Linear Algebra, Statistics, and Optimization II

Michael Mahoney, International Computer Science Institute and UC Berkeley

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Stochastic Second Order Optimization Methods I

Fred Roosta, University of Queensland

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Stochastic Second Order Optimization Methods II

Fred Roosta, University of Queensland

12 – 2 p.m.

Lunch

2 – 3 p.m.

Statistical Inference I

Will Fithian, UC Berkeley

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Statistical Inference II

Will Fithian, UC Berkeley

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

High Dimensional Geometry and Concentration I

Santosh Vempala (Georgia Institute of Technology)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

High Dimensional Geometry and Concentration II

Santosh Vempala (Georgia Institute of Technology)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Algorithmic High Dimensional Robust Statistics I

Ilias Diakonikolas (University of Wisconsin-Madison)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Algorithmic High Dimensional Robust Statistics II

Ilias Diakonikolas (University of Wisconsin-Madison)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Nearest Neighbor Methods I

Ilya Razenshteyn, Microsoft Research

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Nearest Neighbor Methods II

Ilya Razenshteyn, Microsoft Research

12 – 2 p.m.

Lunch

2 – 3 p.m.

Data Streams I

Michael Kapralov, EPFL

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Data Streams II

Michael Kapralov, EPFL