Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.11631
Cited By
v1
v2 (latest)
CausalML: Python Package for Causal Machine Learning
25 February 2020
Huigang Chen
Totte Harinen
Jeong-Yoon Lee
Mike Yung
Zhenyu Zhao
CML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"CausalML: Python Package for Causal Machine Learning"
50 / 65 papers shown
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
Jing Pan
Li Shi
Paul Lo
CML
331
0
0
25 Nov 2025
QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
Hector E Mozo
134
0
0
18 Nov 2025
FML-bench: Benchmarking Machine Learning Agents for Scientific Research
Qiran Zou
Hou Hei Lam
Wenhao Zhao
Yiming Tang
Tingting Chen
S. Yu
Tianyi Zhang
Chang Liu
X. Ji
Dianbo Liu
LLMAG
205
1
0
12 Oct 2025
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte
David Rügamer
Thomas Nagler
CML
BDL
332
3
0
17 Jun 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
Roger Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
1.1K
2
0
15 Apr 2025
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
Abhishek Dalvi
Neil Ashtekar
V. Honavar
CML
139
1
0
27 Jan 2025
UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification
IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025
Mufan Sang
John H. L. Hansen
192
1
0
27 Jan 2025
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios?
Sherly Alfonso-Sánchez
Kristina P. Sendova
Cristián Bravo
CML
189
0
0
07 Oct 2024
Ads Supply Personalization via Doubly Robust Learning
International Conference on Information and Knowledge Management (CIKM), 2024
Wei Shi
Chen Fu
Qi Xu
Sanjian Chen
Jizhe Zhang
Qinqin Zhu
Zhigang Hua
Shuang Yang
OffRL
321
3
0
29 Sep 2024
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
Zhenyu Zhao
Yexi Jiang
CML
179
1
0
20 Sep 2024
Assessing the Impact of Upselling in Online Fantasy Sports
Aayush Chaudhary
180
0
0
01 Sep 2024
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
Yoon Tae Park
Ting Xu
Mohamed Anany
239
0
0
24 Aug 2024
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes
Alexandre Abraham
Andrés Hoyos-Idrobo
CML
174
2
0
20 Jul 2024
Benchmarking for Deep Uplift Modeling in Online Marketing
Dugang Liu
Xing Tang
Yang Qiao
Miao Liu
Zexu Sun
Xiuqiang He
Zhong Ming
355
5
0
01 Jun 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
Fredrik D. Johansson
CML
335
0
0
25 May 2024
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
Kaihua Ding
Jingsong Cui
Mohammad Soltani
Jing Jin
CML
OOD
216
0
0
23 May 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation
Roger Pros
Jordi Vitrià
CML
304
1
0
18 Apr 2024
Uplift Modeling Under Limited Supervision
G. Panagopoulos
Daniele Malitesta
Fragkiskos D. Malliaros
Jun Pang
CML
427
3
0
28 Mar 2024
A Causal Analysis of CO2 Reduction Strategies in Electricity Markets Through Machine Learning-Driven Metalearners
Iman Emtiazi Naeini
Zahra Saberi
Khadijeh Hassanzadeh
105
0
0
21 Mar 2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing
Yinqiu Huang
Shuli Wang
Min Gao
Xue Wei
Changhao Li
Chuan Luo
Yinhua Zhu
Xiong Xiao
Yi Luo
248
9
0
04 Feb 2024
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework
International Conference on AI-ML-Systems (ICA), 2023
Vishal Verma
Vinod Reddy
Jaiprakash Ravi
238
1
0
22 Jan 2024
Temporal-Spatial Entropy Balancing for Causal Continuous Treatment-Effect Estimation
Tao Hu
Honglong Zhang
Fan Zeng
Min Du
XiangKun Du
Yue Zheng
Quanqi Li
Mengran Zhang
Dan Yang
Jihao Wu
129
0
0
14 Dec 2023
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
Industrial Conference on Data Mining (IDM), 2023
Debo Cheng
Yang Xie
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Yinghao Zhang
Zaiwen Feng
CML
BDL
280
4
0
08 Dec 2023
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
Conference on Algebraic Informatics (CAI), 2023
Haowen Wang
Xinyan Ye
Yangze Zhou
Zhiyi Zhang
L. Zhang
Jing Jiang
CML
164
0
0
14 Nov 2023
Assessing the Causal Impact of Humanitarian Aid on Food Security
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Jordi Cerda Bautista
José María Tárraga
Vasileios Sitokonstantinou
Gustau Camps-Valls
272
2
0
17 Oct 2023
OpportunityFinder: A Framework for Automated Causal Inference
Huy Nguyen
Prince Grover
Devashish Khatwani
CML
182
1
0
22 Sep 2023
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making
Patrick Rehill
Nicholas Biddle
SyDa
CML
214
3
0
02 Sep 2023
Causal Inference for Banking Finance and Insurance A Survey
Satyam Kumar
Yelleti Vivek
V. Ravi
I. Bose
CML
328
6
0
31 Jul 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Xian Teng
Yongsu Ahn
Y. Lin
CML
310
6
0
26 Jul 2023
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), 2023
Georgios Giannarakis
Ilias Tsoumas
S. Neophytides
C. Papoutsa
C. Kontoes
D. Hadjimitsis
AI4CE
230
5
0
17 Jul 2023
balance -- a Python package for balancing biased data samples
T. Sarig
Tal Galili
Roee Eilat
232
6
0
12 Jul 2023
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Hugo Manuel Proença
Felipe Moraes
220
5
0
23 Jun 2023
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery
Environmental Data Science (EDS), 2023
S. SaranyaGanesh
Tom Beucler
Frederick Iat-Hin Tam
Milton S. Gomez
Jakob Runge
Andreas Gerhardus
482
13
0
11 Apr 2023
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis
Qian Wang
Huanyi Shui
Thi Tu Trinh Tran
Milad Zafar Nezhad
Devesh Upadhyay
K. Paynabar
An M. He
CML
165
0
0
31 Mar 2023
KDSM: An uplift modeling framework based on knowledge distillation and sample matching
Chang Sun
Qianying Li
Guanxiang Wang
S. Xu
Yitong Liu
183
0
0
06 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
360
29
0
14 Feb 2023
Balancing Approach for Causal Inference at Scale
Knowledge Discovery and Data Mining (KDD), 2023
Sicheng Lin
Meng Xu
Xi Zhang
Shih-Kang Chao
Ying Huang
Xiaolin Shi
CML
198
5
0
10 Feb 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Neural Information Processing Systems (NeurIPS), 2023
Thanh Vinh Vo
Arnab Bhattacharyya
Young Lee
Tze-Yun Leong
FedML
346
26
0
01 Jan 2023
On How AI Needs to Change to Advance the Science of Drug Discovery
Kieran Didi
Matej Zečević
CML
240
1
0
23 Dec 2022
Evaluating Digital Agriculture Recommendations with Causal Inference
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ilias Tsoumas
Georgios Giannarakis
Vasileios Sitokonstantinou
Alkiviadis Koukos
D. Loka
Nikolaos S. Bartsotas
C. Kontoes
Ioannis Athanasiadis
167
14
0
30 Nov 2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
AAAI Conference on Artificial Intelligence (AAAI), 2022
Hao Zhou
Shaoming Li
Guibin Jiang
Jiaqi Zheng
Dong Wang
243
33
0
28 Nov 2022
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
Ilias Tsoumas
Georgios Giannarakis
Vasileios Sitokonstantinou
Alkiviadis Koukos
D. Loka
Nikolaos S. Bartsotas
C. Kontoes
Ioannis Athanasiadis
214
5
0
06 Nov 2022
A Double Machine Learning Trend Model for Citizen Science Data
Methods in Ecology and Evolution (Methods Ecol. Evol.), 2022
Daniel Fink
A. Johnston
Matthew Strimas‐Mackey
T. Auer
W. Hochachka
...
Lauren Oldham Jaromczyk
O. Robinson
Christopher Wood
S. Kelling
A. Rodewald
266
24
0
27 Oct 2022
A Causal Approach for Business Optimization: Application on an Online Marketplace
Naama Parush
Ohad Levinkron-Fisch
H. Shteingart
Amir Bar Sela
Amir Zilberman
Jake Klein
243
0
0
04 Jul 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
Journal of machine learning research (JMLR), 2022
Patrick Blobaum
P. Götz
Kailash Budhathoki
Atalanti A. Mastakouri
Dominik Janzing
252
84
0
14 Jun 2022
Towards assessing agricultural land suitability with causal machine learning
Georgios Giannarakis
Vasileios Sitokonstantinou
R. Lorilla
C. Kontoes
CML
298
27
0
27 Apr 2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
M. Vowels
S. Akbari
Necati Cihan Camgöz
Richard Bowden
293
4
0
18 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CML
ELM
364
76
0
07 Feb 2022
Generalized Causal Tree for Uplift Modeling
BigData Congress [Services Society] (BSS), 2022
Preetam Nandy
Xiufan Yu
Wanjun Liu
Ye Tu
Kinjal Basu
S. Chatterjee
CML
281
9
0
04 Feb 2022
gCastle: A Python Toolbox for Causal Discovery
Keli Zhang
Shengyu Zhu
Marcus Kalander
Ignavier Ng
Junjian Ye
Zhitang Chen
Lujia Pan
CML
300
80
0
30 Nov 2021
1
2
Next
Page 1 of 2
