Experimental Design for Cost-Aware Learning of Causal Graphs

28 October 2018

Murat Kocaoglu

Papers citing "Experimental Design for Cost-Aware Learning of Causal Graphs"

29 / 29 papers shown

Title
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors Tohid Kargar Tasooji Sakineh Khodadadi Guangjun Liu 83 0 0 26 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
Bayesian Intervention Optimization for Causal Discovery Yuxuan Wang Mingzhou Liu Xinwei Sun Wei Wang Yizhou Wang CML 50 0 0 16 Jun 2024
Interventional Causal Discovery in a Mixture of DAGs Burak Varıcı Dmitriy A. Katz-Rogozhnikov Dennis L. Wei P. Sattigeri A. Tajer CML 93 1 0 12 Jun 2024
Causal Discovery under Off-Target Interventions Davin Choo Kirankumar Shiragur Caroline Uhler CML 58 2 1 13 Feb 2024
Confounded Budgeted Causal Bandits Fateme Jamshidi Jalal Etesami Negar Kiyavash 56 4 0 15 Jan 2024
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 72 1 0 08 May 2023
Differentiable Multi-Target Causal Bayesian Experimental Design Yashas Annadani P. Tigas Desi R. Ivanova Andrew Jesson Y. Gal Adam Foster Stefan Bauer BDL CML 89 13 0 21 Feb 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
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 172 47 0 16 Sep 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Yue Liu Ding Zhao LRM 93 40 0 19 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
Experimental Design for Causal Effect Identification S. Akbari Jalal Etesami Negar Kiyavash CML 64 1 0 04 May 2022
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
Collaborative Causal Discovery with Atomic Interventions Raghavendra Addanki S. Kasiviswanathan 91 4 0 06 Jun 2021
Causal Bandits with Unknown Graph Structure Yangyi Lu A. Meisami Ambuj Tewari CML 86 45 0 05 Jun 2021
Active Learning of Continuous-time Bayesian Networks through Interventions Dominik Linzner Heinz Koeppl CML 55 2 0 31 May 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex Andreas Krause Caroline Uhler CML 94 20 0 28 May 2021
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs Raghavendra Addanki A. Mcgregor Cameron Musco CML 55 10 0 27 Dec 2020
Budgeted and Non-budgeted Causal Bandits V. Nair Vishakha Patil Gaurav Sinha 83 41 0 13 Dec 2020
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
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
Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki S. Kasiviswanathan A. Mcgregor Cameron Musco CML 74 30 0 24 May 2020
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 56 10 0 12 Oct 2019