Jennifer Wortman Vaughan
机构: Senior Principal Researcher, Microsoft Research, New York City
主页: jennwv.com
每年引用次数
引用次数
引用: 14,838
H-指数: 44
I10-指数 : 78
出版物: 110
Run the GAMUT: a comprehensive approach to evaluating game-theoretic algorithms
Shoham , Leyton-Brown , Wortman , Nudelman
adaptive agents and multi-agents systems 880 -887
240
2004
Censored exploration and the Dark Pool Problem
Yuriy Nevmyvaka , Michael Kearns , Jennifer Wortman Vaughan , Kuzman Ganchev
uncertainty in artificial intelligence 185 -194
11
2009
Adaptive Task Assignment for Crowdsourced Classification
Chien-Ju Ho , Jennifer Wortman Vaughan , Shahin Jabbari
international conference on machine learning 534 -542
316
2013
Online task assignment in crowdsourcing markets
Chien-Ju Ho , Jennifer Wortman Vaughan
national conference on artificial intelligence 45 -51
410
2012
Manipulating and Measuring Model Interpretability
Daniel G. Goldstein , Jennifer Wortman Vaughan , Forough Poursabzi-Sangdeh , Jake M. Hofman
arXiv: Artificial Intelligence
499
2018
Datasheets for Datasets
Hal Daumé , Jamie Morgenstern , Kate Crawford , Jennifer Wortman Vaughan
arXiv: Databases
1,150
2018
The Disparate Effects of Strategic Manipulation
Nicole Immorlica , Jennifer Wortman Vaughan , Lily Hu
Proceedings of the Conference on Fairness, Accountability, and Transparency 259 -268
54
2019
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein , Jennifer Wortman Vaughan , Hal Daumé III , Miro Dudik
arXiv: Human-Computer Interaction
527
2018
Truthful Aggregation of Budget Proposals.
Jennifer Wortman Vaughan , Rupert Freeman , Dominik Peters , David M. Pennock
arXiv: Computer Science and Game Theory
2019
The Externalities of Exploration and How Data Diversity Helps Exploitation.
Aleksandrs Slivkins , Zhiwei Steven Wu , Jennifer Wortman Vaughan , Manish Raghavan
conference on learning theory 1724 -1738
11
2018
Weight of Evidence as a Basis for Human-Oriented Explanations.
Hal Daumé , Jennifer Wortman Vaughan , David Alvarez-Melis , Hanna M. Wallach
arXiv: Learning
17
2019
No-Regret and Incentive-Compatible Online Learning
Jennifer Wortman Vaughan , Rupert Freeman , Charikleia Podimata , David Pennock
international conference on machine learning 1 3270 -3279
2
2020
Incentivizing High Quality Crowdwork
Aleksandrs Slivkins , Siddharth Suri , Chien-Ju Ho , Jennifer Wortman Vaughan
arXiv: Computer Science and Game Theory
157
2015
An optimization-based framework for automated market-making
Jacob Abernethy , Yiling Chen , Jennifer Wortman Vaughan
electronic commerce 297 -306
49
2011
The Communication Network Within the Crowd
Ming Yin , Mary L. Gray , Siddharth Suri , Jennifer Wortman Vaughan
the web conference 1293 -1303
116
2016
Belief Aggregation with Automated Market Makers
Rajiv Sethi , Jennifer Wortman Vaughan
SSRN Electronic Journal
30
2015
An axiomatic characterization of wagering mechanisms
Nicolas S. Lambert , John Langford , Jennifer Wortman Vaughan , Yiling Chen
Journal of Economic Theory 156 389 -416
22
2015
Tutorial: Making Better Use of the Crowd
Jennifer Wortman Vaughan
meeting of the association for computational linguistics 17 -18
1
2017
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
Jacob Abernethy , Yiling Chen , Jennifer Wortman Vaughan
electronic commerce 1 ( 2) 12
96
2013
An axiomatic characterization of adaptive-liquidity market makers
Xiaolong Li , Jennifer Wortman Vaughan
Proceedings of the fourteenth ACM conference on Electronic commerce 657 -674
9
2013