Active Structure Learning of Causal DAGs via Directed Clique Tree

1 November 2020

Murat Kocaoglu

Karthikeyan Shanmugam

CML

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Papers citing "Active Structure Learning of Causal DAGs via Directed Clique Tree"

26 / 26 papers shown

Title
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding Fateme Jamshidi S. Akbari Negar Kiyavash CML 90 0 0 10 Mar 2025
Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 84 0 0 26 Oct 2024
Interventional Causal Discovery in a Mixture of DAGs Burak Varıcı Dmitriy A. Katz-Rogozhnikov Dennis L. Wei P. Sattigeri A. Tajer CML 86 1 0 12 Jun 2024
Causal Discovery with Fewer Conditional Independence Tests Kirankumar Shiragur Jiaqi Zhang Caroline Uhler CML 56 2 0 03 Jun 2024
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 74 1 0 19 May 2024
Causal Discovery under Off-Target Interventions Davin Choo Kirankumar Shiragur Caroline Uhler CML 56 2 1 13 Feb 2024
Meek Separators and Their Applications in Targeted Causal Discovery Kirankumar Shiragur Jiaqi Zhang Caroline Uhler CML 61 2 0 30 Oct 2023
Adaptivity Complexity for Causal Graph Discovery Davin Choo Kirankumar Shiragur CML 37 3 0 09 Jun 2023
Active causal structure learning with advice Davin Choo Themis Gouleakis Arnab Bhattacharyya CML 79 3 0 31 May 2023
New metrics and search algorithms for weighted causal DAGs Davin Choo Kirankumar Shiragur CML 65 1 0 08 May 2023
Practical Algorithms for Orientations of Partially Directed Graphical Models Malte Luttermann Marcel Wienöbst Maciej Liskiewicz CML 44 1 0 28 Feb 2023
Causal Bandits without Graph Learning Mikhail Konobeev Jalal Etesami Negar Kiyavash CML 52 8 0 26 Jan 2023
Subset verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur CML 35 11 0 09 Jan 2023
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 138 2 0 24 Nov 2022
Verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur Arnab Bhattacharyya CML 43 12 0 30 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models Ehsan Mokhtarian Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash 97 3 0 20 May 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst Max Bannach Maciej Liskiewicz 61 10 0 05 May 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 150 50 0 03 Mar 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 87 2 0 09 Nov 2021
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees Fengzhuo Zhang Anshoo Tandon Vincent Y. F. Tan 55 1 0 27 Oct 2021
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 123 44 0 06 Sep 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe Shantanu Gupta Zachary Chase Lipton David Benjamin Childers CML 83 19 0 20 Aug 2021
Matching a Desired Causal State via Shift Interventions Jiaqi Zhang C. Squires Caroline Uhler 95 16 0 05 Jul 2021
Causal Bandits with Unknown Graph Structure Yangyi Lu A. Meisami Ambuj Tewari CML 76 45 0 05 Jun 2021
Active Structure Learning of Bayesian Networks in an Observational Setting Noa Ben-David Sivan Sabato 52 4 0 25 Mar 2021