JSAIT Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning

Lalitha Sankar, Oliver Kosut^*, Flavio Calmon, Ayfer Ozgur, Lele Wang, Ofer Shayevitz, Parastoo Sadeghi

^*Corresponding author for this work

Research output: Contribution to journal › Editorial

Original language	English
Pages (from-to)	xii-xv
Journal	IEEE Journal on Selected Areas in Information Theory
Volume	5
DOIs	https://doi.org/10.1109/JSAIT.2024.3508492
State	Published - 2024

Access to Document

@article{b903758d03c44d3a91eb7ee755b02721,

title = "JSAIT Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning",

author = "Lalitha Sankar and Oliver Kosut and Flavio Calmon and Ayfer Ozgur and Lele Wang and Ofer Shayevitz and Parastoo Sadeghi",

year = "2024",

doi = "10.1109/JSAIT.2024.3508492",

language = "אנגלית",

volume = "5",

pages = "xii--xv",

journal = "IEEE Journal on Selected Areas in Information Theory",

issn = "2641-8770",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - JSAIT Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning

AU - Sankar, Lalitha

AU - Kosut, Oliver

AU - Calmon, Flavio

AU - Ozgur, Ayfer

AU - Wang, Lele

AU - Shayevitz, Ofer

AU - Sadeghi, Parastoo

PY - 2024

Y1 - 2024

UR - https://www.scopus.com/pages/publications/85215359795

U2 - 10.1109/JSAIT.2024.3508492

DO - 10.1109/JSAIT.2024.3508492

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.editorial???

AN - SCOPUS:85215359795

SN - 2641-8770

VL - 5

SP - xii-xv

JO - IEEE Journal on Selected Areas in Information Theory

JF - IEEE Journal on Selected Areas in Information Theory

ER -