Sep 9, 2022

Getting most out of representations – Approaches to reducing information redundancy

Date: September 9, 2022 | 10:00 am – 11:00 am
Speaker: Karen Ullrich, FAIR NY & Vector Institute
Location: Heinzel Seminar Room / Office Bldg West (I21.EG.101)
Language: English

I will talk about algorithms that find and eliminate redundant information in representations of data. The solutions I present are heavily inspired by classical information theory and modern machine learning. Relevant papers are:
[1] Compressing multisets with large alphabets
D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich – 2022 Data Compression Conference (DCC), 2022
[2] Lossy compression for lossless prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison – Advances in Neural Information Processing Systems, 2021