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My Asilomar 2020 Schedule

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WE3-4: Theory of Machine Learning

Session Type: Virtual
Time: Wednesday, November 4, 14:50 - 16:30
Location: Room 4
Session Chair: Shahin Shahrampour, Texas A&M University
 
  WE3-4-1: LEARNING KOLMOGOROV MODELS FOR BINARY RANDOM VARIABLES
         Hadi Ghauch; Telecom Paris
         Hossein Shokri Ghadikolaei; Royal Institute for Technology, KTH
         Mikael Skoglund; Royal Institute for Technology, KTH
         Carlo Fischione; Royal Institute for Technology, KTH
 
  WE3-4-2: SUCCESSIVE INFORMATION BOTTLENECK AND APPLICATIONS IN DEEP LEARNING
         Yassine Yousfi; Binghamton University-SUNY
         Emrah Akyol; Binghamton University-SUNY
 
  WE3-4-3: SEPARATING THE EFFECTS OF BATCH NORMALIZATION ON CNN TRAINING SPEED AND STABILITY USING CLASSICAL ADAPTIVE FILTER THEORY
         Elaina Chai; Stanford University
         Mert Pilanci; Stanford University
         Boris Murmann; Stanford University
 
  WE3-4-4: GLOBAL CONVERGENCE OF NEWTON METHOD FOR EMPIRICAL RISK MINIMIZATION IN REPRODUCING KERNEL HILBERT SPACE
         Ting-Jui Chang; Texas A&M University
         Shahin Shahrampour; Texas A&M University
 
  WE3-4-5: KNOWING WHEN TO STOP: JOINT HETEROGENEOUS FEATURE SELECTION AND CLASSIFICATION
         Imara Nazar; University at Albany, SUNY
         Daphney-Stavroula Zois; University at Albany, SUNY
         Charalampos Chelmis; University at Albany, SUNY