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Budgeted Experiment Design for Causal Structure Learning

11 September 2017

Papers citing "Budgeted Experiment Design for Causal Structure Learning"

32 / 32 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 136 0 0 02 May 2025
New metrics and search algorithms for weighted causal DAGs Davin Choo Kirankumar Shiragur CML 72 1 0 08 May 2023
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery Ashka Shah A. Ramanathan Valérie Hayot-Sasson Rick L. Stevens CML 29 1 0 06 Apr 2023
Subset verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur CML 56 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
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 80 5 0 26 Jul 2022
Verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur Arnab Bhattacharyya CML 55 12 0 30 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 126 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
Experimental Design for Causal Effect Identification S. Akbari Jalal Etesami Negar Kiyavash CML 64 1 0 04 May 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization Mirco Mutti Ric De Santi Emanuele Rossi J. Calderón Michael M. Bronstein Marcello Restelli 113 14 0 14 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 98 2 0 09 Nov 2021
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models Amirhossein Shahbazinia Saber Salehkaleybar Matin Hashemi CML 90 8 0 28 Sep 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 125 44 0 06 Sep 2021
Matching a Desired Causal State via Shift Interventions Jiaqi Zhang C. Squires Caroline Uhler 95 16 0 05 Jul 2021
Collaborative Causal Discovery with Atomic Interventions Raghavendra Addanki S. Kasiviswanathan 91 4 0 06 Jun 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex Andreas Krause Caroline Uhler CML 94 20 0 28 May 2021
Active Structure Learning of Causal DAGs via Directed Clique Tree C. Squires Sara Magliacane Kristjan Greenewald Dmitriy A. Katz Murat Kocaoglu Karthikeyan Shanmugam CML 126 34 0 01 Nov 2020
Causal learning with sufficient statistics: an information bottleneck approach D. Chicharro M. Besserve S. Panzeri CML 65 5 0 12 Oct 2020
Active Learning of Causal Structures with Deep Reinforcement Learning Amir Amirinezhad Saber Salehkaleybar Matin Hashemi CML 74 12 0 07 Sep 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 124 104 0 01 Jul 2020
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments Ali AhmadiTeshnizi Saber Salehkaleybar Negar Kiyavash CML 70 10 0 17 Jun 2020
Active Invariant Causal Prediction: Experiment Selection through Stability Juan L. Gamella C. Heinze-Deml OOD 73 46 0 10 Jun 2020
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations I. Papantonis Vaishak Belle TPM 32 7 0 29 Jan 2020
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 56 10 0 12 Oct 2019
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks Julius von Kügelgen Paul Kishan Rubenstein Bernhard Schölkopf Adrian Weller CML 86 20 0 09 Oct 2019
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash Kun Zhang CML 48 44 0 11 Aug 2019
Experimental Design for Cost-Aware Learning of Causal Graphs Erik M. Lindgren Murat Kocaoglu A. Dimakis S. Vishwanath CML 73 37 0 28 Oct 2018
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Kun Zhang CML 87 22 0 05 Feb 2018
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Kun Zhang OOD CML 81 61 0 26 May 2017