Sublinear Algorithms for Estimating Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-01-21
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sublinear Algorithms for Estimating Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing

Dipankar Chanda, Debabrota Basu
SPIRE - Sciences Po Institutional REpository
Privacy-Preserving Technologies in Data
article

Sublinear Algorithms for Estimating Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing

Dipankar Chanda, Debabrota Basu
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Indian Statistical Institute (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 21%
Privacy-Preserving Technologies in Data
OpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.