b'Hanna Wallach'

research

∙ 05/02/2023

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging

In this paper, we examine computational approaches for measuring the "fa...

0 Jared Katzman, et al. ∙

research

∙ 06/14/2022

Measuring Representational Harms in Image Captioning

Previous work has largely considered the fairness of image captioning sy...

0 Angelina Wang, et al. ∙

research

∙ 06/06/2022

Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata

Data is central to the development and evaluation of machine learning (M...

5 Amy Heger, et al. ∙

research

∙ 05/05/2022

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research

Transparency around limitations can improve the scientific rigor of rese...

0 Jessie J. Smith, et al. ∙

research

∙ 12/10/2021

Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support

Various tools and practices have been developed to support practitioners...

0 Michael Madaio, et al. ∙

research

∙ 06/12/2021

Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data

We present a new non-negative matrix factorization model for (0,1) bound...

0 Aaron Schein, et al. ∙

research

∙ 04/27/2021

A Human-Centered Interpretability Framework Based on Weight of Evidence

In this paper, we take a human-centered approach to interpretable machin...

16 David Alvarez-Melis, et al. ∙

research

∙ 03/10/2021

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

Several pieces of work have uncovered performance disparities by conduct...

5 Solon Barocas, et al. ∙

research

∙ 05/28/2020

Language (Technology) is Power: A Critical Survey of "Bias" in NLP

We survey 146 papers analyzing "bias" in NLP systems, finding that their...

0 Su Lin Blodgett, et al. ∙

research

∙ 05/03/2020

On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs

We use large-scale corpora in six different gendered languages, along wi...

0 Adina Williams, et al. ∙

research

∙ 12/11/2019

Measurement and Fairness

We introduce the language of measurement modeling from the quantitative ...

0 Abigail Z. Jacobs, et al. ∙

research

∙ 10/29/2019

Weight of Evidence as a Basis for Human-Oriented Explanations

Interpretability is an elusive but highly sought-after characteristic of...

53 David Alvarez-Melis, et al. ∙

research

∙ 10/29/2019

Quantifying the Semantic Core of Gender Systems

Many of the world's languages employ grammatical gender on the lexeme. F...

0 Adina Williams, et al. ∙

research

∙ 10/28/2019

Poisson-Randomized Gamma Dynamical Systems

This paper presents the Poisson-randomized gamma dynamical system (PRGDS...

34 Aaron Schein, et al. ∙

research

∙ 07/04/2019

Toward Fairness in AI for People with Disabilities: A Research Roadmap

AI technologies have the potential to dramatically impact the lives of p...

6 Anhong Guo, et al. ∙

research

∙ 06/11/2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

Studying the ways in which language is gendered has long been an area of...

0 Alexander Hoyle, et al. ∙

research

∙ 06/11/2019

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

Gender stereotypes are manifest in most of the world's languages and are...

0 Ran Zmigrod, et al. ∙

research

∙ 04/10/2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

There is a growing body of work that proposes methods for mitigating bia...

12 Alexey Romanov, et al. ∙

research

∙ 04/05/2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder

When assigning quantitative labels to a dataset, different methodologies...

0 Alexander Hoyle, et al. ∙

research

∙ 01/27/2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

We present a large-scale study of gender bias in occupation classificati...

36 Maria De-Arteaga, et al. ∙

research

∙ 12/13/2018

Improving fairness in machine learning systems: What do industry practitioners need?

The potential for machine learning (ML) systems to amplify social inequi...

0 Kenneth Holstein, et al. ∙

research

∙ 07/22/2018

The Hyperedge Event Model

We introduce the hyperedge event model (HEM)---a generative model for ev...

0 Bomin Kim, et al. ∙

research

∙ 03/23/2018

Datasheets for Datasets

Currently there is no standard way to identify how a dataset was created...

0 Timnit Gebru, et al. ∙

research

∙ 03/22/2018

Locally Private Bayesian Inference for Count Models

As more aspects of social interaction are digitally recorded, there is a...

0 Aaron Schein, et al. ∙

research

∙ 03/06/2018

A Reductions Approach to Fair Classification

We present a systematic approach for achieving fairness in a binary clas...

0 Alekh Agarwal, et al. ∙

research

∙ 02/21/2018

Manipulating and Measuring Model Interpretability

Despite a growing body of research focused on creating interpretable mac...

0 Forough Poursabzi-Sangdeh, et al. ∙

research

∙ 01/19/2017

Poisson--Gamma Dynamical Systems

We introduce a new dynamical system for sequentially observed multivaria...

0 Aaron Schein, et al. ∙

research

∙ 10/31/2016

Flexible Models for Microclustering with Application to Entity Resolution

Most generative models for clustering implicitly assume that the number ...

0 Giacomo Zanella, et al. ∙

research

∙ 09/07/2016

The Social Dynamics of Language Change in Online Networks

Language change is a complex social phenomenon, revealing pathways of co...

0 Rahul Goel, et al. ∙

research

∙ 06/06/2016

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling c...

0 Aaron Schein, et al. ∙

research

∙ 12/02/2015

Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set

Most generative models for clustering implicitly assume that the number ...

0 Jeffrey Miller, et al. ∙

research

∙ 06/10/2015

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts

We present a Bayesian tensor factorization model for inferring latent gr...

0 Aaron Schein, et al. ∙

research

∙ 11/11/2014

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation

We present the Bayesian Echo Chamber, a new Bayesian generative model fo...

0 Fangjian Guo, et al. ∙

Hanna Wallach

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