The Boot Camp is intended to acquaint program participants with the key themes of the program. It will consist of three mini-courses as follows.

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

All events take place in the Calvin Lab Auditorium.

–
Coffee and Check-In
–
Opening Remarks
–
Analytic Methods for Supervised Learning I
Adam Klivans (University of Texas, Austin)
–
Break
–
Introduction to Analysis on the Discrete Cube I
Krzysztof Oleszkiewicz (University of Warsaw)
–
Lunch Break
–
Inapproximability of Constraint Satisfaction Problems I
Johan Håstad (KTH Royal Institute of Technology)
–
Coffee and Check-In
–
Analytic Methods for Supervised Learning II
Adam Klivans (University of Texas, Austin)
–
Break
–
Introduction to Analysis on the Discrete Cube II
Krzysztof Oleszkiewicz (University of Warsaw)
–
Lunch Break
–
Inapproximability of Constraint Satisfaction Problems II
Johan Håstad (KTH Royal Institute of Technology)
–
Coffee and Check-In
–
Analytic Methods for Supervised Learning III
Adam Klivans (University of Texas, Austin)
–
Break
–
Inapproximability of Constraint Satisfaction Problems III
Johan Håstad (KTH Royal Institute of Technology)
–
Coffee and Check-In
–
Analytic Methods for Supervised Learning IV
Adam Klivans (University of Texas, Austin)
–
Break
–
Introduction to Analysis on the Discrete Cube III
Krzysztof Oleszkiewicz (University of Warsaw)
–
Lunch Break
–
Inapproximability of Constraint Satisfaction Problems IV
Johan Håstad (KTH Royal Institute of Technology)
–
Coffee and Check-In
–
Inapproximability of Constraint Satisfaction Problems V
Johan Håstad (KTH Royal Institute of Technology)
–
Break
–
Introduction to Analysis on the Discrete Cube IV
Krzysztof Oleszkiewicz (University of Warsaw)