2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
L.11: Learning Theory II | |
| Session Type: Lecture | |
| Track: Statistics and Learning Theory | |
| Virtual Session: View on Virtual Platform | |
| Session Chair: Jiantao Jiao, University of California, Berkeley | |
| L.11.1: Clustering piecewise stationary processes | |
| Click here to download the manuscript | |
| Click here to view the Virtual Presentation | |
| Azadeh Khaleghi; Lancaster University | |
| Daniil Ryabko; Fishlife Research | |
| L.11.2: On Top-k Selection from m-wise Partial Rankings via Borda Counting | |
| Click here to download the manuscript | |
| Click here to view the Virtual Presentation | |
| Wenjing Chen; Texas A&M University | |
| Ruida Zhou; Texas A&M University | |
| Chao Tian; Texas A&M University | |
| Cong Shen; University of Virginia | |
| L.11.3: Polarization in Attraction-Repulsion Models | |
| Click here to download the manuscript | |
| Click here to view the Virtual Presentation | |
| Elisabetta Cornacchia; École Polytechnique Fédérale de Lausanne | |
| Neta Singer; Columbia University | |
| Emmanuel Abbe; École Polytechnique Fédérale de Lausanne | |
| L.11.4: Information-theoretic limits of a multiview low-rank symmetric spiked matrix model | |
| Click here to download the manuscript | |
| Click here to view the Virtual Presentation | |
| Jean Barbier; The Abdus Salam International Center for Theoretical Physics | |
| Galen Reeves; Duke University | |
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
