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Uplift Modeling Under Limited Supervision

Uplift Modeling Under Limited Supervision

28 March 2024
G. Panagopoulos
Daniele Malitesta
Fragkiskos D. Malliaros
Jun Pang
    CML
ArXivPDFHTML

Papers citing "Uplift Modeling Under Limited Supervision"

6 / 6 papers shown
Title
Using Embeddings for Causal Estimation of Peer Influence in Social
  Networks
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali
Victor Veitch
CML
19
12
0
17 May 2022
To do or not to do: cost-sensitive causal decision-making
To do or not to do: cost-sensitive causal decision-making
Diego Olaya
Wouter Verbeke
Jente Van Belle
M. Guerry
CML
24
4
0
05 Jan 2021
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
76
139
0
13 Dec 2020
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNN
AI4CE
46
63
0
16 Oct 2019
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
207
713
0
12 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1