Continual Causal Inference with Incremental Observational Data

Continual Causal Inference with Incremental Observational Data

3 March 2023

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Papers citing "Continual Causal Inference with Incremental Observational Data"

16 / 16 papers shown

Title
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 105 8 0 02 Feb 2023
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data Zhixuan Chu S. Rathbun Sheng Li CML OOD 80 15 0 22 Feb 2022
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data Zhixuan Chu S. Rathbun Sheng Li CML 47 48 0 05 Jun 2021
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 54 165 0 01 Apr 2020
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 103 512 0 05 Feb 2020
Group Average Treatment Effects for Observational Studies D. Jacob CML 64 20 0 07 Nov 2019
Learning Individual Causal Effects from Networked Observational Data Ruocheng Guo Wenlin Yao Huan Liu CML OOD 54 98 0 08 Jun 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 84 339 0 19 Mar 2019
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 90 487 0 20 Nov 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 71 111 0 01 Oct 2018
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks Chunjie Luo Jianfeng Zhan Lei Wang Qiang Yang 86 203 0 20 Feb 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 162 3,782 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,432 0 29 Jun 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 306 729 0 12 May 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
A method for generating realistic correlation matrices Johanna S. Hardin S. Garcia David Golan 73 83 0 29 Jun 2011