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(26 events)   Timezone:  
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Oral
Wed Jun 12 08:00 AM -- 08:20 AM (KST) @ Room 102
Formal Privacy for Functional Data with Gaussian Perturbations
In Privacy
Ardalan Mirshani · Matthew Reimherr · Aleksandra Slavković
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:20 AM -- 08:25 AM (KST) @ Room 102
Graphical-model based estimation and inference for differential privacy
In Privacy
Ryan McKenna · Daniel Sheldon · Gerome Miklau
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:30 AM -- 08:35 AM (KST) @ Room 102
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule
In Privacy
Touqir Sajed · Or Sheffet
[ Slides] 
Oral
Wed Jun 12 08:35 AM -- 08:40 AM (KST) @ Room 102
Sublinear Space Private Algorithms Under the Sliding Window Model
In Privacy
Jalaj Upadhyay
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:40 AM -- 09:00 AM (KST) @ Room 102
Locally Private Bayesian Inference for Count Models
In Privacy
Aaron Schein · Steven Wu · Alexandra Schofield · Mingyuan Zhou · Hanna Wallach
[ Video] 
Oral
Wed Jun 12 09:05 AM -- 09:10 AM (KST) @ Room 102
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
In Privacy
Jayadev Acharya · Ziteng Sun
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:10 AM -- 09:15 AM (KST) @ Room 102
Poission Subsampled R\'enyi Differential Privacy
In Privacy
Yuqing Zhu · Yu-Xiang Wang
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:15 AM -- 09:20 AM (KST) @ Room 102
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
In Privacy
Jordan Awan · Ana Kenney · Matthew Reimherr · Aleksandra Slavković
[ Slides]  [ Video] 
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #170
Formal Privacy for Functional Data with Gaussian Perturbations
In Posters Tue
Ardalan Mirshani · Matthew Reimherr · Aleksandra Slavković
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #171
Graphical-model based estimation and inference for differential privacy
In Posters Tue
Ryan McKenna · Daniel Sheldon · Gerome Miklau
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #174
Sublinear Space Private Algorithms Under the Sliding Window Model
In Posters Tue
Jalaj Upadhyay
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #175
Locally Private Bayesian Inference for Count Models
In Posters Tue
Aaron Schein · Steven Wu · Alexandra Schofield · Mingyuan Zhou · Hanna Wallach
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #177
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
In Posters Tue
Jayadev Acharya · Ziteng Sun
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #178
Poission Subsampled R\'enyi Differential Privacy
In Posters Tue
Yuqing Zhu · Yu-Xiang Wang
Poster
Wed Jun 12 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #179
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
In Posters Tue
Jordan Awan · Ana Kenney · Matthew Reimherr · Aleksandra Slavković
Invited Talk
Thu Jun 13 01:00 AM -- 02:00 AM (KST) @ Hall A
The U.S. Census Bureau Tries to be a Good Data Steward in the 21st Century
John M. Abowd
[ Video] 
Oral
Fri Jun 14 01:00 AM -- 01:20 AM (KST) @ Seaside Ballroom
On Sparse Linear Regression in the Local Differential Privacy Model
In Privacy and Fairness
Di Wang · Jinhui Xu
[ Oral] 
Oral
Fri Jun 14 01:20 AM -- 01:25 AM (KST) @ 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
Fri Jun 14 01:25 AM -- 01:30 AM (KST) @ 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
Fri Jun 14 01:30 AM -- 01:35 AM (KST) @ Seaside Ballroom
Differentially Private Learning of Geometric Concepts
In Privacy and Fairness
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:40 AM -- 04:00 AM (KST) @ Seaside Ballroom
Differentially Private Fair Learning
In Fairness
Matthew Jagielski · Michael Kearns · Jieming Mao · Alina Oprea · Aaron Roth · Saeed Sharifi-Malvajerdi · Jonathan Ullman
[ Oral] 
Poster
Fri Jun 14 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #121
On Sparse Linear Regression in the Local Differential Privacy Model
In Posters Thu
Di Wang · Jinhui Xu
Poster
Fri Jun 14 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #122
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
In Posters Thu
Di Wang · Changyou Chen · Jinhui Xu
Poster
Fri Jun 14 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #123
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
In Posters Thu
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
Poster
Fri Jun 14 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #124
Differentially Private Learning of Geometric Concepts
In Posters Thu
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
Poster
Fri Jun 14 10:30 AM -- 01:00 PM (KST) @ Pacific Ballroom #134
Differentially Private Fair Learning
In Posters Thu
Matthew Jagielski · Michael Kearns · Jieming Mao · Alina Oprea · Aaron Roth · Saeed Sharifi-Malvajerdi · Jonathan Ullman