L.13: Online, Active, and Transfer Learning | |
Session Type: Lecture | |
Track: Statistics and Learning Theory | |
Virtual Session: View on Virtual Platform | |
Session Chair: Varun Jog, University of Wisconsin-Madison | |
L.13.1: Active Learning for Classification with Abstention | |
Click here to download the manuscript | |
Click here to view the Virtual Presentation | |
Shubhanshu Shekhar; University of California, San Diego | |
Mohammad Ghavamzadeh; Facebook AI Research | |
Tara Javidi; University of California, San Diego | |
L.13.2: Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff | |
Click here to download the manuscript | |
Click here to view the Virtual Presentation | |
Vahid Jamali; University of Erlangen-Nuremberg, Germany | |
Antonia Tulino; University of Napoli Federico II, Italy | |
Jaime Llorca; New York University, New York | |
Elza Erkip; New York University, New York | |
L.13.3: An Efficient Running Quantile Estimation Technique alongside Correntropy for Outlier Rejection in Online Regression | |
Click here to download the manuscript | |
Click here to view the Virtual Presentation | |
Sajjad Bahrami; University of California, Riverside | |
Ertem Tuncel; University of California, Riverside | |
L.13.4: Information-theoretic analysis for transfer learning | |
Click here to download the manuscript | |
Click here to view the Virtual Presentation | |
Xuetong Wu; University of Melbourne | |
Jonathan Manton; University of Melbourne | |
Uwe Aickelin; University of Melbourne | |
Jingge Zhu; University of Melbourne | |
L.13.5: What is the Value of Data? on Mathematical Methods for Data Quality Estimation | |
Click here to download the manuscript | |
Click here to view the Virtual Presentation | |
Netanel Raviv; Washington University in Saint Louis | |
Siddharth Jain; California Institute of Technology | |
Jehoshua Bruck; California Institute of Technology | |
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia