4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
Etam Benger, Katrina Ligett
Binary classification based on predicted probabilities (scores) is a fundamental task in supervised machine learning. While thresholding scores is Bayes-optimal in the unconstraine…
cs.IT2023★ 3 cited
The Cardinality Bound on the Information Bottleneck Representations is Tight
Etam Benger, Shahab Asoodeh, Jun Chen
The information bottleneck (IB) method aims to find compressed representations of a variable that retain the most relevant information about a target variable . We show that…
cs.IT2021★ 4 cited
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems
Shlomi Agmon, Etam Benger, Or Ordentlich +1
In rate-distortion (RD) problems one seeks reduced representations of a source that meet a target distortion constraint. Such optimal representations undergo topological transition…