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--- ja:schedule [2015/09/03 12:09]
mcuturi
+++ ja:schedule [2015/11/16 15:06] (current)
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-===== 講義スケジュール =====
+===== Schedule =====
-**開催日時: 8/23 (日) から 9/4(金) まで**
+**Dates: August 23rd (Sun) to September 4th (Fri), 2015. **
 <html>
@@ Line 42: / Line 42: @@
 <td style="background-color: #FFDAB9"></html>[[schedule#Submodular Functions|Jegelka]]<html></td>
 <td style="background-color: #FAA992"></html>[[schedule#Statistical and Computational Aspects of High-Dimensional Learning|Rigollet]]<html></td>
-<td style="background-color: #cf0000; color: #fff;" >Kyoto U.</td>
+<td style="background-color: #cf0000; color: #fff;" ></html>[[schedule#Kyoto U. Session|Kyoto U.]]<html></td>
 <td style="background-color: #DEAFAF"></html>[[schedule#Scalable Machine Learning|Smola]]<html></td>
 </tr>
@@ Line 135: / Line 135: @@
 </html>
-<html>
-<table class="uk-table uk-table-condensed">
-<tr>
-<td style="width:100px;"></td>
-<td style="width:100px;">Sun. 23rd</td>
-<td style="width:100px;">Mon. 24th</td>
-<td style="width:100px;">Tue. 25th</td>
-<td style="width:100px;">Wed. 26th</td>
-<td style="width:100px;">Thu. 27th</td>
-<td style="width:100px;">Fri. 28th</td>
-</tr>
-<tr>
-<td>8:30-10:00</td>
-<td style="background-color: #ffff00"></html>[[schedule#Registration and Opening Statements|Registration]]<html></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Topics in Selective Inference|Candès]]<html></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Topics in Selective Inference|Candès]]<html></td>
-<td style="background-color: #FFDAB9"></html>[[schedule#Submodular Functions|Jegelka]]<html></td>
-<td style="background-color: #DEAFAF"></html>[[schedule#Scalable Machine Learning|Smola]]<html></td>
-<td></td>
-</tr>
-<tr>
-<td>10:30-12:00</td>
-<td style="background-color: #FAEBD7"></html>[[schedule#Convex Optimization|Boyd]]<html></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Topics in Selective Inference|Candès]]<html></td>
-<td style="background-color: #FFDAB9"></html>[[schedule#Submodular Functions|Jegelka]]<html></td>
-<td style="background-color: #FAA992"></html>[[schedule#Statistical and Computational Aspects of High-Dimensional Learning|Rigollet]]<html></td>
-<td style="background-color: #DEAFAF"></html>[[schedule#Scalable Machine Learning|Smola]]<html></td>
-<td style="background-color: #ffff00">Poster III</td>
-</tr>
-<tr>
-<td colspan="7" class="uk-text-center">Lunch Break</td>
-</tr>
-<tr>
-<td>13:30-15:00</td>
-<td style="background-color: #FAEBD7"></html>[[schedule#Convex Optimization|Boyd]]<html></td>
-<td style="background-color: #FAEBD7"></html>[[schedule#Convex Optimization|Boyd]]<html></td>
-<td style="background-color: #FFDAB9"></html>[[schedule#Submodular Functions|Jegelka]]<html></td>
-<td style="background-color: #FAA992"></html>[[schedule#Statistical and Computational Aspects of High-Dimensional Learning|Rigollet]]<html></td>
-<td style="background-color: #cf0000; color: #fff;" >Kyoto U.</td>
-<td style="background-color: #DEAFAF"></html>[[schedule#Scalable Machine Learning|Smola]]<html></td>
-</tr>
-<tr>
-<td>15:30-17:00</td>
-<td style="background-color: #ADD8E6"></html>[[schedule#Concentration Inequalities|Lugosi]]<html></td>
-<td style="background-color: #ADD8E6"></html>[[schedule#Concentration Inequalities|Lugosi]]<html></td>
-<td style="background-color: #FAA992"></html>[[schedule#Statistical and Computational Aspects of High-Dimensional Learning|Rigollet]]<html></td>
-<td style="background-color: #66DDFF"></html>[[schedule#Learning Representations|Rosasco]]<html></td>
-<td style="background-color: #ffff00" rowspan="2">Poster II<br>(-18:00)</td>
-<td style="background-color: #66DDFF"></html>[[schedule#Learning Representations|Rosasco]]<html></td>
-</tr>
-<tr>
-<td>17:30-19:00</td>
-<td style="background-color: #ADD8E6"></html>[[schedule#Concentration Inequalities|Lugosi]]<html></td>
-<td style="background-color: #3CB371"></html>[[schedule#Probabilistic Programming|De Raedt]]<html></td>
-<td style="background-color: #ffff00">Spotlights</td>
-<td style="background-color: #ffff00">Poster I</td>
-<td style="background-color: #66DDFF"></html>[[schedule#Learning Representations|Rosasco]]<html></td>
-</tr>
-<tr>
-<td></td><td></td><td></td><td></td><td></td>
-<td style="background-color: #00ccff">Karaoke Party</td>
-<td></td>
-</tr>
-</table>
-</html>
-<html>
+===== Registration and Opening Statements =====
-<table class="uk-table uk-table-condensed">
-<tr>
-<td style="width:100px;"></td>
-<td></td>
-<td style="width:100px;">Mon. 31st</td>
-<td style="width:100px;">Tue. 1st</td>
-<td style="width:100px;">Wed. 2nd</td>
-<td style="width:100px;">Thu. 3rd</td>
-<td style="width:100px;">Fri. 4th</td>
-</tr>
+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**.
-<tr>
-<td>8:30-10:00</td>
-<td></td>
-<td style="background-color: #FFE4E1"></html>[[schedule#Reinforcement Learning|Szepesvari]]<html></td>
-<td style="background-color: #B0C4DE"></html>[[schedule#Machine Learning for Computer Vision|Harchaoui]]<html></td>
-<td style="background-color: #DDA0DD"></html>[[schedule#Tensor Decompositions|Tomioka]]<html></td>
-<td></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Statistical Guarantees in Optimization|Wainwright]]<html></td>
-</tr>
+We will give opening remarks and announcements from 9:40 to 10:00 AM.
-<tr>
-<td>10:30-12:00</td>
-<td></td>
-<td style="background-color: #FFE4E1"></html>[[schedule#Reinforcement Learning|Szepesvari]]<html></td>
-<td style="background-color: #FFE4E1"></html>[[schedule#Reinforcement Learning|Szepesvari]]<html></td>
-<td style="background-color: #99DDFF"></html>[[schedule#Stochastic Optimization|Suzuki]]<html></td>
-<td style="background-color: #66CDAA"></html>[[schedule#Large Scale Deep Learning|Vanhoucke]]<html></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Statistical Guarantees in Optimization|Wainwright]]<html></td>
-</tr>
-<tr>
-<td colspan="7" class="uk-text-center">Lunch Break</td>
-</tr>
-<tr>
-<td>13:30-15:00</td>
-<td></td>
-<td style="background-color: #B0C4DE"></html>[[schedule#Machine Learning for Computer Vision|Harchaoui]]<html></td>
-<td style="background-color: #DDA0DD"></html>[[schedule#Tensor Decompositions|Tomioka]]<html></td>
-<td style="background-color: #66CDAA"></html>[[schedule#Large Scale Deep Learning|Vanhoucke]]<html></td>
-<td style="background-color: #8FBC8F"></html>[[schedule#Statistical Guarantees in Optimization|Wainwright]]<html></td>
-<td style="background-color: #99DDFF"></html>[[schedule#Stochastic Optimization|Suzuki]]<html></td>
-</tr>
-<tr>
-<td>15:30-17:00</td>
-<td></td>
-<td style="background-color: #B0C4DE"></html>[[schedule#Machine Learning for Computer Vision|Harchaoui]]<html></td>
-<td style="background-color: #DDA0DD"></html>[[schedule#Tensor Decompositions|Tomioka]]<html></td>
-<td style="background-color: #66CDAA"></html>[[schedule#Large Scale Deep Learning|Vanhoucke]]<html></td>
-<td style="background-color: #99DDFF"></html>[[schedule#Stochastic Optimization|Suzuki]]<html></td>
-<td></td>
-</tr>
-<tr>
-<td>17:30-19:00</td>
-<td></td>
-<td></td>
-<td style="background-color: #ffff00">Poster IV</td>
-<td style="background-color: #00ccff" rowspan="2">Banquet</td>
-<td style="background-color: #ffff00">Poster V</td>
-<td></td>
-</tr>
-</table>
-</html>
-===== Registration and Opening Statements =====
+===== Lectures =====
-多くの参加者が予想されるため，レジストレーションの時間帯(8:30am〜9:30am)を特別に設けています，早めに会場にお越しいただき，ご協力いただけると幸いです．またサマースクール開幕に先立ちまして，開催に関する注意事項等を説明する時間として9:40am頃から10:00am頃まで、オープニングトークを行います。
-===== 講義リスト =====
 ==== Convex Optimization ====
-** [[http://stanford.edu/~boyd/|Stephen P. Boyd]], Stanford **
+[[http://stanford.edu/~boyd/|Stephen P. Boyd]], Stanford
   * [[https://www.dropbox.com/s/qs9n2gl8fnowwgx/cvx_about_course.pdf?dl=0| Introduction]]
   * [[https://www.dropbox.com/s/hv8ae1jlubzij85/cvx_opt_intro.pdf?dl=0|Slides 1]]
@@ Line 280: / Line 153: @@
   * [[http://stanford.edu/~boyd/papers/cvx_short_course.html|CVX Short Course]]
 ==== Concentration Inequalities ====
-** [[http://www.econ.upf.edu/~lugosi/|Gábor Lugosi]], Pompeu Fabra**
+[[http://www.econ.upf.edu/~lugosi/|Gábor Lugosi]], Pompeu Fabra
   * [[https://www.dropbox.com/s/idyl2v0zc7sfos9/slides_lugosi.pdf?dl=0|Slides]]
 ==== Topics in Selective Inference ====
-** [[http://statweb.stanford.edu/~candes/|Emmanuel Candès]],  Stanford**
+[[http://statweb.stanford.edu/~candes/|Emmanuel Candès]],  Stanford
   *[[https://www.dropbox.com/s/t6q8nmfhgzp1z7b/MLSS_candes.pdf?dl=0|Slides 1]]
   *[[https://www.dropbox.com/s/xs2knumkrzrbuk6/Kyoto_MLSS2.pdf?dl=0|Slides 2]]
 ==== Probabilistic Programming ====
-** [[http://people.cs.kuleuven.be/~luc.deraedt/|Luc De Raedt]], KU Leuven**
+[[http://people.cs.kuleuven.be/~luc.deraedt/|Luc De Raedt]], KU Leuven
   *[[https://www.dropbox.com/s/lrsyl6fw3508y55/pptutorialmlss15.pdf?dl=0|Slides]]
 ==== Submodular Functions ====
-** [[http://www.cs.berkeley.edu/~stefje/|Stefanie Jegelka]], MIT **
+[[http://www.cs.berkeley.edu/~stefje/|Stefanie Jegelka]], MIT
   *[[http://people.csail.mit.edu/stefje/mlss/kyoto_mlss_lecture1.pdf|Slides 1]]
+  *[[http://people.csail.mit.edu/stefje/mlss/kyoto_mlss_lecture2.pdf|Slides 2]]
+  *[[http://people.csail.mit.edu/stefje/mlss/kyoto_mlss_lecture3.pdf|Slides 3]]
+  *[[http://people.csail.mit.edu/stefje/mlss/literature.pdf|Literature]]
 ==== Statistical and Computational Aspects of High-Dimensional Learning ====
-** [[http://math.mit.edu/directory/profile.php?pid=1654|Philippe Rigollet]], MIT **
+[[http://math.mit.edu/directory/profile.php?pid=1654|Philippe Rigollet]], MIT
   *[[https://www.dropbox.com/s/dhgamcmk1lp5c9d/MLSS15.pdf?dl=0|Slides]]
 ==== Learning Representations ====
-** [[http://web.mit.edu/lrosasco/www/|Lorenzo Rosasco]], MIT / Genoa**
+[[http://web.mit.edu/lrosasco/www/|Lorenzo Rosasco]], MIT / Genoa
   *[[https://www.dropbox.com/sh/bzull20emgtyc6e/AAAkdnb4EYZPeGWlg-aD2CNra?dl=0|Slides]]
 ==== Scalable Machine Learning ====
-** [[http://alex.smola.org/|Alexander J. Smola]], CMU**
+[[http://alex.smola.org/|Alexander J. Smola]], CMU
+  *[[https://www.dropbox.com/s/t8k4rfw56y3r9o0/FastCheapDeep.pdf?dl=0|Slides]]
 ==== Reinforcement Learning ====
-** [[http://www.ualberta.ca/~szepesva/|Csaba Szepesvári]], Alberta **
+[[http://www.ualberta.ca/~szepesva/|Csaba Szepesvári]], Alberta
-  * [[https://dl.dropboxusercontent.com/u/6099418/MLSS2015-RL-Part1.pdf|Slides 1]]
+  * [[http://www.ualberta.ca/~szepesva/Talks/MLSS2015-RL-Part1.pdf|Slides 1]]
-  * [[https://dl.dropboxusercontent.com/u/6099418/MLSS2015-RL-Part2.pdf|Slides 2]]
+  * [[http://www.ualberta.ca/~szepesva/Talks/MLSS2015-RL-Part2.pdf|Slides 2]]
+  * [[http://www.ualberta.ca/~szepesva/Talks/MLSS2015-RL-Part3.pdf|Slides 3]]
 ==== Machine Learning for Computer Vision ====
-** [[http://www.harchaoui.eu/zaid/en/index.php|Zaid Harchaoui]], NYU/INRIA **
+[[http://www.harchaoui.eu/zaid/en/index.php|Zaid Harchaoui]], NYU/INRIA
+  * [[http://www.harchaoui.eu/zaid/share/2015/harch_mlss15_part1.pdf|Slides 1]]
+  * [[http://www.harchaoui.eu/zaid/share/2015/harch_mlss15_part2.pdf|Slides 2]]
+  * [[http://www.harchaoui.eu/zaid/share/2015/harch_mlss15_part3.pdf|Slides 3]]
 ==== Tensor Decompositions ====
-** [[http://ttic.uchicago.edu/~ryotat/|Ryota Tomioka]], TTI Chicago**
+[[http://ttic.uchicago.edu/~ryotat/|Ryota Tomioka]], TTI Chicago
   * [[https://github.com/ryotat/mlss15/blob/master/mlss15.pdf|Slides]]
 ==== Stochastic Optimization ====
-** [[http://www.is.titech.ac.jp/~s-taiji/|Taiji Suzuki]], Tokyo Tech**
+[[http://www.is.titech.ac.jp/~s-taiji/|Taiji Suzuki]], Tokyo Tech
   * [[http://www.is.titech.ac.jp/~s-taiji/mlss2015/MLSS2015.pdf|Slides 1]]
   * [[http://www.is.titech.ac.jp/~s-taiji/mlss2015/MLSS2015_2.pdf|Slides 2]]
@@ Line 322: / Line 204: @@
 ==== Large Scale Deep Learning ====
-** [[http://research.google.com/pubs/VincentVanhoucke.html|Vincent Vanhoucke]],
+[[http://research.google.com/pubs/VincentVanhoucke.html|Vincent Vanhoucke]],
-Google **
+Google
+  * [[https://drive.google.com/file/d/0B525s-oGR9wpN1hWOGMyaE5pcXc/view?invite=CM2K7cQI|Slides]]
 ==== Statistical Guarantees in Optimization ====
-** [[http://www.cs.berkeley.edu/~wainwrig/|Martin Wainwright]], Berkeley**
+[[http://www.cs.berkeley.edu/~wainwrig/|Martin Wainwright]], Berkeley
   * [[https://www.dropbox.com/s/d0ysjlioek0oln5/Wainwright_Lecture1.pdf?dl=0|Slides 1]]
+  * [[https://www.dropbox.com/s/mcjpiwaztcbx34i/Wainwright_Lecture2.pdf?dl=0|Slides 2]]
+  * [[https://www.dropbox.com/s/nsi6tr6f359px87/Wainwright_Lecture3.pdf?dl=0|Slides 3]]
 ==== Kyoto U. Session ====
 Location: 3rd floor of Building 4 of the south campus

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