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Learning Discrete Distributions from Untrusted Batches

Learning Discrete Distributions from Untrusted Batches

22 November 2017
Mingda Qiao
Gregory Valiant
    FedML
ArXivPDFHTML

Papers citing "Learning Discrete Distributions from Untrusted Batches"

7 / 7 papers shown
Title
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
31
0
0
05 May 2025
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Florian E. Dorner
Nikola Konstantinov
Georgi Pashaliev
Martin Vechev
FedML
22
5
0
25 May 2023
Efficient List-Decodable Regression using Batches
Efficient List-Decodable Regression using Batches
Abhimanyu Das
Ayush Jain
Weihao Kong
Rajat Sen
28
4
0
23 Nov 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Yiding Chen
Xuezhou Zhang
Kaipeng Zhang
Mengdi Wang
Xiaojin Zhu
OffRL
26
16
0
01 Jun 2022
Robust estimation algorithms don't need to know the corruption level
Robust estimation algorithms don't need to know the corruption level
Ayush Jain
A. Orlitsky
V. Ravindrakumar
13
6
0
11 Feb 2022
Robust Estimation for Random Graphs
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
30
8
0
09 Nov 2021
Optimal Robust Learning of Discrete Distributions from Batches
Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain
A. Orlitsky
11
14
0
19 Nov 2019
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