The 2021 Croucher Summer Course in Information Theory was held in August 2021 at The Chinese University of Hong Kong.

Videos and lecture material are now available at http://cscit.ie.cuhk.edu.hk/CSCIT2021/program.html

Lecturers:

Clément Canonne (University of Sydney)
Topic: Estimation and Hypothesis testing under information constraints

Chung Chan (City University of Hong Kong)
Topic: Mutual information in machine learning

Siu On Chan (The Chinese University of Hong Kong)
Topic: Random walk on high dimensional expanders

Cheuk Ting Li (The Chinese University of Hong Kong)
Topic: Finite-blocklength schemes in information theory

Noga Ron-Zewi (University of Haifa)
Topic: Locally-testable and locally-decodable codes

Parastoo Sadeghi (University of New South Wales, Canberra Campus)
Topic: Fundamental trade-offs between privacy and utility in data sharing

Changho Suh (Korea Advanced Institute of Science and Technology)
Topic: Fair machine learning via information theory
 

Pascal Vontobel (course director)

Sid Jaggi (course co-director)