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Challenges and approaches to privacy preserving post-click conversion
  prediction

Challenges and approaches to privacy preserving post-click conversion prediction

29 January 2022
Conor O'Brien
Arvind Thiagarajan
Sourav Das
Rafael Barreto
C. Verma
Tim Hsu
James Neufeld
Jonathan J. Hunt
    OffRL
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Papers citing "Challenges and approaches to privacy preserving post-click conversion prediction"

7 / 7 papers shown
Title
Aggregating Data for Optimal and Private Learning
Aggregating Data for Optimal and Private Learning
Sushant Agarwal
Yukti Makhija
Rishi Saket
A. Raghuveer
FedML
73
0
0
28 Nov 2024
Weak to Strong Learning from Aggregate Labels
Weak to Strong Learning from Aggregate Labels
Yukti Makhija
Rishi Saket
25
0
0
09 Nov 2024
Class-aware and Augmentation-free Contrastive Learning from Label
  Proportion
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Shimin Di
Ruidong Wang
Lei Chen
21
0
0
13 Aug 2024
Hardness of Learning Boolean Functions from Label Proportions
Hardness of Learning Boolean Functions from Label Proportions
V. Guruswami
Rishi Saket
19
0
0
28 Mar 2024
Learning under Label Proportions for Text Classification
Learning under Label Proportions for Text Classification
Jatin Chauhan
Xiaoxuan Wang
Wei Wang
25
1
0
18 Oct 2023
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label
  Proportions
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
Anand Brahmbhatt
Mohith Pokala
Rishi Saket
A. Raghuveer
17
3
0
16 Oct 2023
Label Differential Privacy via Aggregation
Label Differential Privacy via Aggregation
Anand Brahmbhatt
Rishi Saket
Shreyas Havaldar
Anshul Nasery
A. Raghuveer
40
0
0
16 Oct 2023
1