Cost-Optimal Learning of Causal Graphs

8 March 2017

Murat Kocaoglu

Papers citing "Cost-Optimal Learning of Causal Graphs"

48 / 48 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 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
When Selection Meets Intervention: Additional Complexities in Causal Discovery Haoyue Dai Ignavier Ng Jianle Sun Zeyu Tang Gongxu Luo Xinshuai Dong Peter Spirtes Kun Zhang CML 118 0 0 10 Mar 2025
Graph Agnostic Causal Bayesian Optimisation Sumantrak Mukherjee Mengyan Zhang Seth Flaxman Sebastian Vollmer CML 97 0 0 05 Nov 2024
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 43 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 88 1 0 12 Jun 2024
Causal Contextual Bandits with Adaptive Context Rahul Madhavan Aurghya Maiti Gaurav Sinha Siddharth Barman CML 61 0 0 28 May 2024
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 78 1 0 19 May 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
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions Simon Bing Urmi Ninad Jonas Wahl Jakob Runge CML 100 6 0 05 Nov 2023
Meek Separators and Their Applications in Targeted Causal Discovery Kirankumar Shiragur Jiaqi Zhang Caroline Uhler CML 63 2 0 30 Oct 2023
Adaptivity Complexity for Causal Graph Discovery Davin Choo Kirankumar Shiragur CML 47 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
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
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 88 11 0 27 Jan 2023
Subset verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur CML 54 11 0 09 Jan 2023
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 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 124 47 0 02 Jun 2022
Fast Causal Orientation Learning in Directed Acyclic Graphs Ramin Safaeian Saber Salehkaleybar M. Tabandeh CML 28 2 0 27 May 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
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
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 103 54 0 07 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 87 2 0 09 Nov 2021
Intervention Efficient Algorithm for Two-Stage Causal MDPs Rahul Madhavan Aurghya Maiti Gaurav Sinha Siddharth Barman 41 1 0 01 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 123 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
Causal Bandits with Unknown Graph Structure Yangyi Lu A. Meisami Ambuj Tewari CML 86 45 0 05 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
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
Active Learning of Causal Structures with Deep Reinforcement Learning Amir Amirinezhad Saber Salehkaleybar Matin Hashemi CML 74 12 0 07 Sep 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
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 62 27 0 11 Apr 2020
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 56 10 0 12 Oct 2019
Estimation Rates for Sparse Linear Cyclic Causal Models Jan-Christian Hütter Philippe Rigollet CML 57 3 0 08 Jun 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 55 9 0 05 Mar 2019
Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay Piyushi Manupriya Anirban Sarkar V. Balasubramanian CML 102 146 0 06 Feb 2019
Experimental Design for Cost-Aware Learning of Causal Graphs Erik M. Lindgren Murat Kocaoglu A. Dimakis S. Vishwanath CML 63 37 0 28 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 88 168 0 25 Sep 2018
Learning and Testing Causal Models with Interventions Jayadev Acharya Arnab Bhattacharyya C. Daskalakis S. Kandasamy CML 61 53 0 24 May 2018
Budgeted Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Elias Bareinboim CML 116 64 0 11 Sep 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 119 257 0 06 Sep 2017