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Intervention Efficient Algorithms for Approximate Learning of Causal
  Graphs

Intervention Efficient Algorithms for Approximate Learning of Causal Graphs

International Conference on Algorithmic Learning Theory (ALT), 2020
27 December 2020
Raghavendra Addanki
A. Mcgregor
Cameron Musco
    CML
ArXiv (abs)PDFHTML

Papers citing "Intervention Efficient Algorithms for Approximate Learning of Causal Graphs"

7 / 7 papers shown
Characterization and Learning of Causal Graphs from Hard Interventions
Characterization and Learning of Causal Graphs from Hard Interventions
Zihan Zhou
Muhammad Qasim Elahi
Murat Kocaoglu
CML
558
1
0
02 May 2025
Interventional Causal Discovery in a Mixture of DAGs
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı
Dmitriy A. Katz-Rogozhnikov
Dennis L. Wei
P. Sattigeri
A. Tajer
CML
304
4
0
12 Jun 2024
Identifiability Matters: Revealing the Hidden Recoverable Condition in
  Unbiased Learning to Rank
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to RankInternational Conference on Machine Learning (ICML), 2023
Mouxiang Chen
Chenghao Liu
Zemin Liu
Zhuo Li
Jianling Sun
CML
361
4
0
27 Sep 2023
Sample Constrained Treatment Effect Estimation
Sample Constrained Treatment Effect EstimationNeural Information Processing Systems (NeurIPS), 2022
Raghavendra Addanki
David Arbour
Tung Mai
Cameron Musco
Anup B. Rao
219
10
0
12 Oct 2022
Experimental Design for Causal Effect Identification
Experimental Design for Causal Effect Identification
S. Akbari
Jalal Etesami
Negar Kiyavash
CML
287
1
0
04 May 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal
P. Srivastava
Gaurav Sinha
CML
587
2
0
09 Nov 2021
Collaborative Causal Discovery with Atomic Interventions
Collaborative Causal Discovery with Atomic InterventionsNeural Information Processing Systems (NeurIPS), 2021
Raghavendra Addanki
S. Kasiviswanathan
249
5
0
06 Jun 2021
1
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