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(8 events)   Timezone: Pacific/Honolulu  
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Oral
Thu Jun 13 06:00 AM -- 06:20 AM (HST) @ Seaside Ballroom
On Sparse Linear Regression in the Local Differential Privacy Model
In Privacy and Fairness
Di Wang · Jinhui Xu
[ Oral] 
Oral
Thu Jun 13 06:20 AM -- 06:25 AM (HST) @ Seaside Ballroom
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
In Privacy and Fairness
Di Wang · Changyou Chen · Jinhui Xu
[ Slides]  [ Oral] 
Oral
Thu Jun 13 06:25 AM -- 06:30 AM (HST) @ Seaside Ballroom
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
In Privacy and Fairness
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
[ Slides]  [ Oral] 
Oral
Thu Jun 13 06:30 AM -- 06:35 AM (HST) @ Seaside Ballroom
Differentially Private Learning of Geometric Concepts
In Privacy and Fairness
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
[ Slides]  [ Oral] 
Oral
Thu Jun 13 06:35 AM -- 06:40 AM (HST) @ Seaside Ballroom
Toward Controlling Discrimination in Online Ad Auctions
In Privacy and Fairness
L. Elisa Celis · Anay Mehrotra · Nisheeth Vishnoi
[ Slides]  [ Oral] 
Oral
Thu Jun 13 06:40 AM -- 07:00 AM (HST) @ Seaside Ballroom
Learning Optimal Fair Policies
In Privacy and Fairness
Razieh Nabi · Daniel Malinsky · Ilya Shpitser
[ Oral] 
Oral
Thu Jun 13 07:00 AM -- 07:05 AM (HST) @ Seaside Ballroom
Fairness-Aware Learning for Continuous Attributes and Treatments
In Privacy and Fairness
Jeremie Mary · Clément Calauzènes · Noureddine El Karoui
[ Slides]  [ Oral] 
Oral
Thu Jun 13 07:05 AM -- 07:10 AM (HST) @ Seaside Ballroom
Fairness risk measures
In Privacy and Fairness
Robert C Williamson · Aditya Menon
[ Slides]  [ Oral]