Learning Causal Graphs with Small Interventions

30 October 2015

Karthikeyan Shanmugam

Murat Kocaoglu

Papers citing "Learning Causal Graphs with Small Interventions"

22 / 22 papers shown

Title
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems Le Pan Yuanjiang Cao Chengkai Huang Wenjie Zhang L. Yao CML 45 0 0 06 May 2025
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 89 0 0 02 May 2025
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors Tohid Kargar Tasooji Sakineh Khodadadi Guangjun Liu 30 0 0 26 Mar 2025
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 46 1 0 28 May 2024
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 41 1 0 19 May 2024
Practical Algorithms for Orientations of Partially Directed Graphical Models Malte Luttermann Marcel Wienöbst Maciej Liskiewicz CML 22 1 0 28 Feb 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
Causal Bandits without Graph Learning Mikhail Konobeev Jalal Etesami Negar Kiyavash CML 13 8 0 26 Jan 2023
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 40 18 0 18 Sep 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 41 48 0 04 Jun 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst Max Bannach Maciej Liskiewicz 27 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 34 48 0 03 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 50 0 07 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 43 2 0 09 Nov 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 46 42 0 06 Sep 2021
Matching a Desired Causal State via Shift Interventions Jiaqi Zhang C. Squires Caroline Uhler 29 16 0 05 Jul 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 58 33 0 01 Nov 2020
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments Ali AhmadiTeshnizi Saber Salehkaleybar Negar Kiyavash CML 24 10 0 17 Jun 2020
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 27 9 0 05 Mar 2019
Cost-Optimal Learning of Causal Graphs Murat Kocaoglu A. Dimakis S. Vishwanath CML 13 67 0 08 Mar 2017
Identifying Best Interventions through Online Importance Sampling Rajat Sen Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai 24 72 0 10 Jan 2017
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 224 627 0 20 Feb 2013