Program Spring School
Lecture Series
The lecture series will be given by
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Alexandre BelloniDuke University
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Sébastien BubeckMicrosoft Research, Redmond |
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Vladimir KoltchinskiiGeorgia Tech |
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Schedule
Mon, Mar 5 | Tue, Mar 6 | Wed, Mar 7 | Thu, Mar 8 | |
Part I |
V. Koltchinskii 9:00-10:15 |
A. Belloni 9:00-10:30 |
S. Bubeck 9:00-10:15 |
A. Belloni 9:00-10:00 |
Break | Break | Break | Break | |
A. Belloni 10:45-12:00 |
V. Koltchinskii 11:00-12:30 |
S. Bubeck 10:45-12:00 |
S. Bubeck 10:30-11:30 |
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Participants' Introduction |
Q&P S. Bubeck 12:00-12:30 |
V. Koltchinskii 11:30-12:30 |
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End Part I | 12:30 | 12:30 | 12:30 | 12:30 |
Lunch | 13:00 | 13:00 | 13:00 | 12:40 |
Break (Poster preparation) |
Break (Football) |
Excursion |
Break | |
Part II |
V. Koltchinskii 15:15-16:30 |
A. Belloni 15:00-16:15 |
15:00 |
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Break | Break | |||
Q&P A. Belloni 17:00-17:30 |
S. Bubeck 16:45-18:00 |
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Q&P V. Koltchinskii 17:30-18:00 |
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End Part II | 18:00 | 18:00 | ||
Dinner | 18:30 | 18:30 | 18:30 | |
Poster Session 19:30 |
FG Meeting |
Lecture notes
Alexandre Belloni: All-in-one
Sébastien Bubeck: All-in-one, Lecture 1, 2, 3, 4
Vladimir Koltchinskii: Slides
Preparatory Material
Alexandre Belloni's course 'Inference with Many Approximate Means and its Applications':
- Belloni A., Chernozhukov V., Chetverikov D., Wei Y. Uniformly valid post-regularization confidence regions for many functional parameters in z-estimation framework. arXiv:1512.07619, 2015. (forthcoming Annals of Statistics)
- Chernozhukov, V., Chetverikov, D. and Kato, K. Gaussian approximations and
multiplier bootstrap for maxima of sums of high-dimensional random vectors. The
Annals of Statistics 41 2786-2819, 2013. - Further related works: 1, 2, 3, 4 & 5
Sébastien Bubeck's course 'Bandit Convex Optimization':
- Abstract and Schedule
- Related material: 1, 2, 3 & 4
Vladimir Koltchinskii's course 'Asymptotic Efficiency in High-Dimensional Covariance Estimation':
Poster session
All participants are encouraged to present their work in a poster session.
Participants Short Introduction
All participants introduce themselves and their research interests very briefly on Monday before lunch.