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Scalable inference of topic evolution via models for latent geometric
  structures
v1v2v3 (latest)

Scalable inference of topic evolution via models for latent geometric structures

24 September 2018
Mikhail Yurochkin
Zhiwei Fan
Aritra Guha
Paraschos Koutris
X. Nguyen
ArXiv (abs)PDFHTML

Papers citing "Scalable inference of topic evolution via models for latent geometric structures"

4 / 4 papers shown
Title
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks
Biao Zhang
Shuqin Zhang
FedMLMoMe
34
0
0
24 Oct 2022
Federated Learning with Matched Averaging
Federated Learning with Matched Averaging
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
FedML
130
1,133
0
15 Feb 2020
Statistical Model Aggregation via Parameter Matching
Statistical Model Aggregation via Parameter Matching
Mikhail Yurochkin
Mayank Agarwal
S. Ghosh
Kristjan Greenewald
T. Hoang
FedML
72
31
0
01 Nov 2019
Bayesian Nonparametric Federated Learning of Neural Networks
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin
Mayank Agarwal
S. Ghosh
Kristjan Greenewald
T. Hoang
Y. Khazaeni
FedML
145
732
0
28 May 2019
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