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MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
v1v2v3v4 (latest)

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

The European Symposium on Artificial Neural Networks (ESANN), 2020
28 April 2020
Ankit Sharma
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
    CML
ArXiv (abs)PDFHTML

Papers citing "MultiMBNN: Matched and Balanced Causal Inference with Neural Networks"

4 / 4 papers shown
DRTCI: Learning Disentangled Representations for Temporal Causal
  Inference
DRTCI: Learning Disentangled Representations for Temporal Causal Inference
Garima Gupta
Lovekesh Vig
Gautam M. Shroff
BDLOODCML
108
0
0
20 Jan 2022
CAMTA: Causal Attention Model for Multi-touch Attribution
CAMTA: Causal Attention Model for Multi-touch Attribution
Sachin Kumar
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
CMLHAI
237
17
0
21 Dec 2020
Targeted VAE: Variational and Targeted Learning for Causal Inference
Targeted VAE: Variational and Targeted Learning for Causal Inference
M. Vowels
Necati Cihan Camgöz
Richard Bowden
BDLOODCML
414
9
0
28 Sep 2020
Hi-CI: Deep Causal Inference in High Dimensions
Hi-CI: Deep Causal Inference in High Dimensions
Ankit Sharma
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
BDLCML
404
4
0
22 Aug 2020
1
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