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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 14 occurrences of 14 keywords
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Results
Found 166 publication records. Showing 166 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 84 | Sarvar Patel |
Number Theoretic Attacks on Secure Password Schemes.  |
S&P  |
1997 |
DBLP DOI BibTeX RDF |
number theoretic attacks, secure password schemes, Encrypted Key Exchange, EKE, authenticated information exchange, insecure network, secret key cryptography, randomized confounders, RSA version, half encrypted versions, Direct Authentication Protocol, Secret Public Key Protocol versions, secure protocols, message authentication, dictionary attacks, active attacks, password guessing attacks |
| 58 | Ana Maria Madrigal, Jim Q. Smith |
Causal Identification in Design Networks. |
MICAI |
2004 |
DBLP DOI BibTeX RDF |
Design interventions and strategies, Identification of Policy Effects, Confounders, Directed Acyclic Graphs (DAGs), Influence diagrams, Causal inference, Bayesian decision theory |
| 25 | Jobany Rodriguez, Heather Bortfeld, Ricardo Gutierrez-Osuna |
Reducing the other-race effect through caricatures. |
FG |
2008 |
DBLP DOI BibTeX RDF |
|
| 25 | B. Ganguli, Matt P. Wand |
Feature significance in generalized additive models. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Best linear unbiased prediction (BLUP), Bivariate smoothing, Generalised linear mixed models, Low-rank mixed models, Penalised splines, Penalised quasi-likelihood (PQL), Geostatistics, Additive models |
| 25 | Jan C. de Munck, Sonia I. Gonçalves, Theo J. C. Faes, Petra J. W. Pouwels, Joost P. A. Kuijer, Rob M. Heethaar, Fernando Henrique Lopes da Silva |
The Relation between Alpha Band Power, Heart Rate and Fmri. |
ISBI |
2007 |
DBLP DOI BibTeX RDF |
|
| 21 | Boris Lorbeer, Mustafa Mohsen |
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 21 | Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls |
Recovering Latent Confounders from High-dimensional Proxy Variables. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 21 | Stefan Wagner 0001, Marvin Wyrich |
Code Comprehension Confounders: A Study of Intelligence and Personality. |
Software Engineering |
2024 |
DBLP DOI BibTeX RDF |
|
| 21 | Alexis Bellot, Junzhe Zhang, Elias Bareinboim |
Scores for Learning Discrete Causal Graphs with Unobserved Confounders. |
AAAI |
2024 |
DBLP DOI BibTeX RDF |
|
| 21 | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le |
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. |
AAAI |
2024 |
DBLP DOI BibTeX RDF |
|
| 21 | Tobias Hatt, Stefan Feuerriegel |
Sequential Deconfounding for Causal Inference with Unobserved Confounders. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 21 | Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu 0001, Lanfen Lin, Kun Kuang |
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. |
ACM Trans. Knowl. Discov. Data |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Jun Wang, Wei Gao 0002, Man-Lai Tang, Changbiao Liu |
Estimating treatment effects in the presence of unobserved confounders. |
Commun. Stat. Simul. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | David Bruns-Smith, Angela Zhou |
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Defu Cao, James Enouen, Yan Liu 0002 |
Estimating Treatment Effects in Continuous Time with Hidden Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Tianyu Han, Laura Zigutyte, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman, Christian Blüthgen, Firas Khader, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn |
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Hang Chen, Xinyu Yang, Qing Yang |
Learning to Recover Causal Relationship from Indefinite Data in the Presence of Latent Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Ruichu Cai, Zhiyi Huang 0008, Wei Chen 0103, Zhifeng Hao, Kun Zhang 0001 |
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu 0003, Jixue Liu, Wentao Gao, Thuc Duy Le |
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Hangtong Xu, Yuanbo Xu, Yongjian Yang |
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Hangtong Xu, Yuanbo Xu, Yongjian Yang |
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik |
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Jin-Hong Du, Larry A. Wasserman, Kathryn Roeder |
Simultaneous inference for generalized linear models with unmeasured confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Tatsuhiro Shimizu |
Diffusion Model in Causal Inference with Unmeasured Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Roshan Prakash Rane, JiHoon Kim, Arjun Umesha, Didem Stark, Marc-André Schulz, Kerstin Ritter |
Identifying confounders in deep-learning-based model predictions using DeepRepViz. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Yonghe Zhao, Qiang Huang, Siwei Wu, Yun Peng, Huiyan Sun |
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang 0005 |
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao 0001, Jiheng Zhang, Ruocheng Guo |
Debiasing Recommendation by Learning Identifiable Latent Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu 0002 |
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Maulik K. Nariya, Caitlin E. Mills, Peter K. Sorger, Artem Sokolov |
Paired evaluation of machine-learning models characterizes effects of confounders and outliers. |
Patterns |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Maulik K. Nariya, Caitlin E. Mills, Peter K. Sorger, Artem Sokolov |
Correction: Paired evaluation of machine-learning models characterizes effects of confounders and outliers. |
Patterns |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Ke Wang 0035, Alexander Franks, Sang-Yun Oh |
Learning Gaussian graphical models with latent confounders. |
J. Multivar. Anal. |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Fiona Anting Tan, See-Kiong Ng |
Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. |
ISWC (Posters/Demos/Industry) |
2023 |
DBLP BibTeX RDF |
|
| 21 | Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg |
Partial identification of dose responses with hidden confounders. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 21 | David Kaltenpoth, Jilles Vreeken |
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 21 | Boris Lorbeer, Mustafa Mohsen |
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders. |
CogMI |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao 0001, Jiheng Zhang, Ruocheng Guo |
Debiasing Recommendation by Learning Identifiable Latent Confounders. |
KDD |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu 0002 |
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. |
AAAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Zhiheng Zhang, Quanyu Dai, Xu Chen 0017, Zhenhua Dong, Ruiming Tang |
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. |
SIGIR |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu |
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 21 | Miao Lu, Yifei Min, Zhaoran Wang 0001, Zhuoran Yang |
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 21 | Matthew Ashman, Chao Ma 0019, Agrin Hilmkil, Joel Jennings, Cheng Zhang |
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 21 | Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik |
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. |
ICML |
2023 |
DBLP BibTeX RDF |
|
| 21 | Ruichu Cai, Zhiyi Huang 0008, Wei Chen 0103, Zhifeng Hao, Kun Zhang 0001 |
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. |
ICML |
2023 |
DBLP BibTeX RDF |
|
| 21 | David Kaltenpoth, Jilles Vreeken |
Nonlinear Causal Discovery with Latent Confounders. |
ICML |
2023 |
DBLP BibTeX RDF |
|
| 21 | Tatsuhiro Shimizu |
Diffusion Model in Causal Inference with Unmeasured Confounders. |
SSCI |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Sung Jae Jun, Sokbae Lee |
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 21 | Yuhao Liu 0002, Chen Cui, Daniel Waxman 0002, Kurt Butler, Petar M. Djuric |
Detecting Confounders in Multivariate Time Series using Strength of Causation. |
EUSIPCO |
2023 |
DBLP DOI BibTeX RDF |
|
| 21 | Yujing Du, Hon Keung Tony Ng, Jun Wang, Wei Gao 0002 |
On estimation of two-dimensional dynamic panel model with confounders. |
Commun. Stat. Simul. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Lucy D'Agostino McGowan |
tipr: An R package for sensitivity analyses for unmeasured confounders. |
J. Open Source Softw. |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Stefan Wagner 0001, Marvin Wyrich |
Code Comprehension Confounders: A Study of Intelligence and Personality. |
IEEE Trans. Software Eng. |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas |
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Yi Shen 0011, Jessilyn Dunn, Michael M. Zavlanos |
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Christian Reiser |
Causal discovery for time series with latent confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan |
Bounding the Effects of Continuous Treatments for Hidden Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Junzhe Zhang, Daniel Kumor, Elias Bareinboim |
Causal Imitation Learning with Unobserved Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Kiattikun Chobtham, Anthony C. Constantinou |
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Sung Jae Jun, Sokbae Lee |
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li 0064, Furui Liu, Zhihua Wang 0008, Fei Wu 0001 |
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Daniel Kumor, Junzhe Zhang, Elias Bareinboim |
Sequential Causal Imitation Learning with Unobserved Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Miao Lu, Yifei Min, Zhaoran Wang 0001, Zhuoran Yang |
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Sourabh Balgi, José M. Peña 0001, Adel Daoud |
ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang |
Confounders mediate AI prediction of demographics in medical imaging. |
npj Digit. Medicine |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Takashi Nicholas Maeda, Shohei Shimizu |
Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders. |
Int. J. Data Sci. Anal. |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Wei Chen 0103, Ruichu Cai, Kun Zhang 0001, Zhifeng Hao |
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. |
IEEE Trans. Neural Networks Learn. Syst. |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen |
Unbiased Sequential Recommendation with Latent Confounders. |
WWW |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Tom Claassen, Ioan Gabriel Bucur |
Greedy equivalence search in the presence of latent confounders. |
UAI |
2022 |
DBLP BibTeX RDF |
|
| 21 | Aurghya Maiti, Vineet Nair, Gaurav Sinha |
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. |
UAI |
2022 |
DBLP BibTeX RDF |
|
| 21 | Yi Shen 0011, Jessilyn Dunn, Michael M. Zavlanos |
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. |
CDC |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Kiattikun Chobtham, Anthony C. Constantinou |
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 21 | Samira Zare, Hien Van Nguyen |
Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis. |
MICCAI (8) |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas |
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 21 | Lu Cheng 0001, Ruocheng Guo, Huan Liu 0001 |
Causal Mediation Analysis with Hidden Confounders. |
WSDM |
2022 |
DBLP DOI BibTeX RDF |
|
| 21 | Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff |
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. |
ICWSM |
2022 |
DBLP BibTeX RDF |
|
| 21 | Lu Cheng 0001, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu 0001 |
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. |
ICWSM |
2022 |
DBLP BibTeX RDF |
|
| 21 | Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit |
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. |
ICLR |
2022 |
DBLP BibTeX RDF |
|
| 21 | Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul |
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath |
Causal Estimation with Functional Confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Stefan Wagner 0001, Marvin Wyrich |
Code Comprehension Confounders: A Study of Intelligence and Personal. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar |
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit |
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Andreas Gerhardus |
Characterization of causal ancestral graphs for time series with latent confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik |
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Tobias Hatt, Stefan Feuerriegel |
Sequential Deconfounding for Causal Inference with Unobserved Confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Wei Chen 0103, Kun Zhang 0001, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour |
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Lu Cheng 0001, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu 0001 |
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Lu Cheng 0001, Ruocheng Guo, Huan Liu 0001 |
Causal Mediation Analysis with Hidden Confounders. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Philip Ball, T. Benjamin Britton, Erin Hengel, Philip J. Moriarty, Rachel A. Oliver, Gina Rippon, Angela Saini, Jessica Wade |
Gender issues in fundamental physics: Strumia's bibliometric analysis fails to account for key confounders and confuses correlation with causation. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 21 | Ádám Zlatniczki, Marcell Stippinger, Zsigmond Benko, Zoltán Somogyvári, András Telcs |
Relaxation of Some Confusions about Confounders. |
Entropy |
2021 |
DBLP DOI BibTeX RDF |
|
| 21 | Scott A. Malec, Peng Wei, Elmer V. Bernstam, Richard D. Boyce, Trevor Cohen |
Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance. |
J. Biomed. Informatics |
2021 |
DBLP DOI BibTeX RDF |
|
| 21 | Philip Ball, T. Benjamin Britton, Erin Hengel, Philip J. Moriarty, Rachel A. Oliver, Gina Rippon, Angela Saini, Jessica Wade |
Gender issues in fundamental physics: Strumia's bibliometric analysis fails to account for key confounders and confuses correlation with causation. |
Quant. Sci. Stud. |
2021 |
DBLP DOI BibTeX RDF |
|
| 21 | Shantanu Gupta, Zachary C. Lipton, David Childers |
Estimating treatment effects with observed confounders and mediators. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 21 | Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik |
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 21 | Daniel Kumor, Junzhe Zhang, Elias Bareinboim |
Sequential Causal Imitation Learning with Unobserved Confounders. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 21 | Konstantin Genin |
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 21 | Andrew Bennett, Nathan Kallus, Lihong Li 0001, Ali Mousavi 0003 |
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 21 | Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong |
Causal Modeling with Stochastic Confounders. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 21 | Kari Rantanen, Antti Hyttinen, Matti Järvisalo |
Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach. |
Int. J. Approx. Reason. |
2020 |
DBLP DOI BibTeX RDF |
|
| 21 | Elisa Ferrari, Paolo Bosco, Sara Calderoni, Piernicola Oliva, Letizia Palumbo, Giovanna Spera, Maria Evelina Fantacci, Alessandra Retico |
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study. |
Artif. Intell. Medicine |
2020 |
DBLP DOI BibTeX RDF |
|
| 21 | Elisa Ferrari, Alessandra Retico, Davide Bacciu |
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI). |
Artif. Intell. Medicine |
2020 |
DBLP DOI BibTeX RDF |
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