NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (17)

cs.HC2018

DimReader: Axis lines that explain non-linear projections

Rebecca Faust, David Glickenstein, Carlos Scheidegger

cs.GR2017

Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology

Mustafa Hajij, Bei Wang, Carlos Scheidegger +1

cs.LG2012

Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields

Nivan Ferreira, James T. Klosowski, Carlos Scheidegger +1

cs.DB2019

NeuralCubes: Deep Representations for Visual Data Exploration

Zhe Wang, Dylan Cashman, Mingwei Li +5

cs.CG2018

Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing

Lin Yan, Yaodong Zhao, Paul Rosen +2

cs.SI2019

Gaps in Information Access in Social Networks

Benjamin Fish, Ashkan Bashardoust, danah boyd +3

cs.LG2019

Assessing the Local Interpretability of Machine Learning Models

Dylan Slack, Sorelle A. Friedler, Carlos Scheidegger +1

The paper investigates how well humans can understand and predict the behavior of machine learning models using two notions of local interpretability—simulatability and what‑if exp…

#interpretability#local explanations#simulatability#user study
astro-ph.IM2016

ANTARES: Progress towards building a `Broker' of time-domain alerts

Abhijit Saha, Zhe Wang, Thomas Matheson +13

stat.ML2015

Certifying and removing disparate impact

Michael Feldman, Sorelle Friedler, John Moeller +2

cs.CY2017

Runaway Feedback Loops in Predictive Policing

Danielle Ensign, Sorelle A. Friedler, Scott Neville +2

cs.CY2016

On the (im)possibility of fairness

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

cs.LG2019

Fairness in representation: quantifying stereotyping as a representational harm

Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger +1

stat.ML2018

A comparative study of fairness-enhancing interventions in machine learning

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian +3

cs.HC2015

Towards Understanding Enjoyment and Flow in Information Visualization

Bahador Saket, Carlos Scheidegger, Stephen Kobourov

cs.LG2019

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler +2

astro-ph.IM2018

Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

Gautham Narayan, Tayeb Zaidi, Monika D. Soraisam +20

stat.ML2016

Auditing Black-box Models for Indirect Influence

Philip Adler, Casey Falk, Sorelle A. Friedler +4