Cost-Optimal Learning of Causal Graphs

Cost-Optimal Learning of Causal Graphs

8 March 2017

Murat Kocaoglu

Papers citing "Cost-Optimal Learning of Causal Graphs"

16 / 16 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 34 0 0 26 Mar 2025
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 41 1 0 19 May 2024
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 36 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 51 0 07 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 45 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 39 16 0 05 Jul 2021
Budgeted and Non-budgeted Causal Bandits V. Nair Vishakha Patil Gaurav Sinha 18 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 62 33 0 01 Nov 2020
Active Invariant Causal Prediction: Experiment Selection through Stability Juan L. Gamella C. Heinze-Deml OOD 11 45 0 10 Jun 2020
Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki S. Kasiviswanathan A. Mcgregor Cameron Musco CML 13 30 0 24 May 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 19 26 0 11 Apr 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
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 32 168 0 25 Sep 2018
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 224 628 0 20 Feb 2013