Schedule
Dates: August 23rd (Sun) to September 4th (Fri), 2015.
Sun 23 | Mon 24 | Tue 25 | Wed 26 | Thu 27 | Fri 28 | |
8:30-10:00 | Registration | Candès | Candès | Jegelka | Smola | |
10:30-12:00 | Boyd | De Raedt | Jegelka | Rigollet | Smola | Poster III |
Lunch Break | ||||||
13:30-15:00 | Boyd | Boyd | Jegelka | Rigollet | Kyoto U. | Smola |
15:30-17:00 | Lugosi | Lugosi | Rigollet | Rosasco | Poster II (-18:00) |
Rosasco |
17:30-19:00 | Lugosi | Spotlights | Poster I | Rosasco | ||
Karaoke Party |
Mon 31 | Tue 1 | Wed 2 | Thu 3 | Fri 4 | ||
8:30-10:00 | Szepesvari | Harchaoui | Tomioka | Wainwright | ||
10:30-12:00 | Szepesvari | Szepesvari | Suzuki | Vanhoucke | Wainwright | |
Lunch Break | ||||||
13:30-15:00 | Harchaoui | Tomioka | Vanhoucke | Wainwright | Suzuki | |
15:30-17:00 | Harchaoui | Tomioka | Vanhoucke | Suzuki | ||
17:30-19:00 | Poster IV | Banquet | Poster V |
Registration and Opening Statements
Due to the large number of applicants, we will open the registration desk from 8:00 AM and encourage all participants to finish registration by 9:30.
We will give opening remarks and announcements from 9:40 to 10:00 AM.
Lectures
Convex Optimization
Concentration Inequalities
Gábor Lugosi, Pompeu Fabra
Topics in Selective Inference
Emmanuel Candès, Stanford
Probabilistic Programming
Luc De Raedt, KU Leuven
Submodular Functions
Statistical and Computational Aspects of High-Dimensional Learning
Philippe Rigollet, MIT
Learning Representations
Lorenzo Rosasco, MIT / Genoa
Scalable Machine Learning
Alexander J. Smola, CMU
Reinforcement Learning
Csaba Szepesvári, Alberta
Machine Learning for Computer Vision
Zaid Harchaoui, NYU/INRIA
Tensor Decompositions
Ryota Tomioka, TTI Chicago
Stochastic Optimization
Taiji Suzuki, Tokyo Tech
Large Scale Deep Learning
Vincent Vanhoucke, Google
Statistical Guarantees in Optimization
Martin Wainwright, Berkeley
Kyoto U. Session
Location: 3rd floor of Building 4 of the south campus (building numbered 88 on this map)
- 13:30 - 13:50 Kazuyoshi Yoshii, “Positive Semidefinite Tensor Factorization as a Genuine Extension of Nonnegative Matrix Factorization”
- 13:50 - 14:10 Adam Jatowt, “Bridging the Past and the Present: Finding Temporal Counterparts in Archival Data”
- 14:10 - 14:30 Daisuke Kawahara, “Knowledge-intensive Natural Language Processing”
- 14:30 - 14:50 Kohei Suenaga, “Formal verification of software, continuous, and hybrid systems, or: How do we verify our program is correct?”
- 14:50 - 15:10 Hisashi Kashima, “Crowdsourcing for Big Data Analytics”