Near-Optimal Multi-Perturbation Experimental Design for Causal Structure
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Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning

28 May 2021

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Papers citing "Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning"

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Title
Data Filtering for Genetic Perturbation Prediction G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 502 0 0 01 Jul 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 116 0 0 10 Mar 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 102 0 0 31 Jan 2025
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments Luka Kovacevic Izzy Newsham Sach Mukherjee John Whittaker CML 52 2 0 08 Jul 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 78 1 0 26 May 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 87 1 0 13 Mar 2024
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 111 11 0 06 Jun 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 80 13 0 21 Feb 2023
Sequential Underspecified Instrument Selection for Cause-Effect Estimation Elisabeth Ailer Jason S. Hartford Niki Kilbertus CML 80 4 0 11 Feb 2023
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 109 28 0 10 Sep 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 80 5 0 26 Jul 2022
Active Bayesian Causal Inference Christian Toth Lars Lorch Christian Knoll Andreas Krause Franz Pernkopf Robert Peharz Julius von Kügelgen 83 27 0 04 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 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
Submodular Maximization in Clean Linear Time Wenxin Li Moran Feldman Ehsan Kazemi Amin Karbasi 59 23 0 16 Jun 2020