BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Swiss Machine Learning Day
DTSTART:20151110T090000
DTSTAMP:20260407T043906Z
UID:24cc552d3f10f9ec22b3404f27ddee08376813be312be79abfb286f3
CATEGORIES:Conferences - Seminars
DESCRIPTION:A panel of experts from a range of Swiss Universities\n9:00 
 – 9:30\n    Fast and Accurate Inference of Plackett–Luce Models (Lu
 cas Maystre\, EPFL)\n9:30 – 10:00\n    Robust Principal Component Ana
 lysis on Graphs (Nauman Shahid\, EPFL)\n10:00 – 10:30\n    Time-Varyi
 ng Gaussian Process Bandit Optimization (Ilija Bogunovic\, EPFL)\n10:30 
 – 10:45\n    Coffee break\n10:45 – 11:15\n    An invariant regul
 ariser for learning with dynamical systems (Pablo Ramon Strasser\, UNIGE)\
 n11:15 – 11:45\n    Learning POMDP policies from human demonstrations
  in haptic search tasks (Guillaume de Chambrier\, EPFL)\n11:45 – 12:15\n
     Active learning for reconstruction of curvilinear structures (Agata
  Justyna Mosinska\, EPFL)\n12:15 – 14:00\n    Lunch break\n14:00 – 
 14:30\n    Weighted Multiple Instance Learning for Text Regression Task
 s (Nikos Pappas\, IDIAP)\n14:30 – 15:00\n    An HMM-based formulation
  for automatic derivation of phone-like subword units and pronunciation le
 xicon development (Marzieh Razavi\, IDIAP)\n15:00 – 15:30\n    Data-d
 riven surface normal learning for accurate multi-view stereo reconstructio
 n (Silvano Galliani\, ETHZ)\n15:30 – 15:45\n    Coffee break\n15:45 
 – 16:15\n    Learning Robot Manipulation Tasks with Tied Gaussian Mix
 ture Models (Ajay Tanwani\, IDIAP)\n16:15 – 16:45\n    Fast computati
 on of adversarial examples in convolution networks (Seyed-Mohsen Moosavi-D
 ezfooli\, EPFL)\n16:45 – 17:15\n    Scalable Metric Learning via Weig
 hted Approximate Rank Component Analysis (Cijo Jose\, IDIAP)\nAttendance i
 s free but please register.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR