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Publications

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Publication

Truthful Aggregation of Budget Proposals

Rupert Freeman, David Pennock, Dominik Peters, Jennifer Wortman Vaughan

Twentieth ACM Conference on Economics and Computation | June 2019

Publication

Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting

Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang

Conference on Learning Theory | June 2019

Publication

Certified Robustness to Adversarial Examples with Differential Privacy

Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana

S&P ’19 | May 2019

ArXiv

Publication

Competitive Advertising on Brand Search: Traffic Stealing and Customer Selection

Andrey Simonov, Shawndra Hill

SSRN Electronic Journal | May 2019

Publication

Bayesian Exploration with Heterogeneous Agents

Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Steven Wu

The Web Conference 2019 | May 2019

Publication

Understanding the Effect of Accuracy on Trust in Machine Learning Models

Ming Ying, Jennifer Wortman Vaughan, Hanna Wallach

2019 ACM CHI Conference on Human Factors in Computing Systems | May 2019

Honorable Mention Award at CHI 2019

Publication

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

Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai

NAACL 2019 | April 2019

Best Paper Award, NAACL 2019

Publication

Active Learning for Cost-Sensitive Classification

Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, John Langford, Hal Daumé III

Journal of Machine Learning Research | April 2019

Publication

Logarithmic Time One-Against-Some

Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro

ICML 2017 | April 2019

Publication

Predicting History

Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts

Nature Human Behavior | April 2019