Minimax Quantization for Distributed Maximum Likelihood Estimation
By P. Venkitasubramaniam, Lang Tong, Ananthram Swami. 2006
16 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ayfer Özgür
- Leighton Pate Barnes
- Yanjun Han
- P. Venkitasubramaniam
- Lang Tong
- Ananthram Swami
- Nicolas Papernot
- Patrick Drew McDaniel
In Computer Networks and Communications
- Leighton Pate Barnes
- Ayfer Özgür
- Yanjun Han
- Ananthram Swami
- Lang Tong
- P. Venkitasubramaniam
- Jayadev Acharya
- Qing Zhao
In Statistics and Probability
- Leighton Pate Barnes
- Ayfer Özgür
- Yanjun Han
- Ananthram Swami
- Lang Tong
- P. Venkitasubramaniam
- Jayadev Acharya
- Himanshu Tyagi
Citations in the corpus
- Learning Distributions from their Samples under Communication Constraints (2019, methodology): “There has been some previous work in analyzing Fisher information from a quantized scalar random variable such as [7], [8], [9], [10].”
- A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation (2018, methodology): “There has been some previous work in analyzing Fisher information from a quantized scalar random variable such as [5],[6],[7],[8].”
- Quantization For Distributed Estimation in Large Scale Sensor Networks (2005, methodology): “By Fisher Information type metric, we mean metrics which involve ro such that Theorem 1 would apply [12].”