WE3-4: Theory of Machine Learning |
| Session Type: Virtual |
| Time: Wednesday, November 4, 14:50 - 16:30 |
| Virtual Session: View on Virtual Platform |
| 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 |