Greedy Relaxations of the Sparsest Permutation Algorithm

11 June 2022

Papers citing "Greedy Relaxations of the Sparsest Permutation Algorithm"

30 / 30 papers shown

Title
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge Donghuo Zeng Roberto Legaspi Yuewen Sun Xinshuai Dong Kazushi Ikeda Peter Spirtes Kun Zhang CML 19 0 0 08 Apr 2025
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies Donghuo Zeng Roberto Legaspi Yuewen Sun Xinshuai Dong Kazushi Ikeda Peter Spirtes Kun Zhang CML 52 1 0 19 Mar 2025
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs Mohammad Shahverdikondori Ehsan Mokhtarian Negar Kiyavash CML 24 0 0 30 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 24 0 0 08 Oct 2024
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth Joseph Ramsey Bryan Andrews Peter Spirtes CML 22 2 0 30 Sep 2024
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 20 1 0 25 Jun 2024
Causal Discovery with Fewer Conditional Independence Tests Kirankumar Shiragur Jiaqi Zhang Caroline Uhler CML 25 1 0 03 Jun 2024
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method Bryan Andrews Erich Kummerfeld CML 40 4 0 21 May 2024
Hyperplane Representations of Interventional Characteristic Imset Polytopes Benjamin Hollering Joseph Johnson Liam Solus 18 0 0 29 Apr 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 28 2 0 14 Mar 2024
Membership Testing in Markov Equivalence Classes via Independence Query Oracles Jiaqi Zhang Kirankumar Shiragur Caroline Uhler CML 48 0 0 09 Mar 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 41 1 0 22 Feb 2024
Optimal estimation of Gaussian (poly)trees Yuhao Wang Ming Gao Wai Ming Tai Bryon Aragam Arnab Bhattacharyya TPM 16 1 0 09 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 41 7 0 02 Feb 2024
Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study E. Rawls Bryan Andrews Kelvin Lim Erich Kummerfeld CML 24 1 0 20 Dec 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks Yeshu Li Brian D. Ziebart OOD 19 0 0 10 Nov 2023
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees Bryan Andrews Joseph Ramsey Ruben Sanchez-Romero Jazmin Camchong Erich Kummerfeld CML 15 16 0 26 Oct 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 21 1 0 14 Aug 2023
Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search Joseph Ramsey Bryan Andrews KELM CML 9 6 0 13 Aug 2023
Causal-learn: Causal Discovery in Python Yujia Zheng Biwei Huang Wei Chen Joseph Ramsey Mingming Gong Ruichu Cai Shohei Shimizu Peter Spirtes Kun Zhang CML 19 64 0 31 Jul 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 9 14 0 18 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 13 0 0 01 Jul 2023
Causal Razors Wai-yin Lam CML 16 0 0 20 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 25 3 0 07 Feb 2023
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes Mizu Nishikawa-Toomey T. Deleu Jithendaraa Subramanian Yoshua Bengio Laurent Charlin BDL CML 24 29 0 04 Nov 2022
Diffusion Models for Causal Discovery via Topological Ordering Pedro Sanchez Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris DiffM 86 47 0 12 Oct 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation Yang Ni CML 16 5 0 18 Sep 2022
ML4C: Seeing Causality Through Latent Vicinity Haoyue Dai Rui Ding Yuanyuan Jiang Shi Han Dongmei Zhang OOD 27 13 0 01 Oct 2021
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms Felix L. Rios G. Moffa Jack Kuipers CML 27 12 0 08 Jul 2021
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013