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1104.2808
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Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
14 April 2011
Alain Hauser
Peter Buhlmann
CML
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Papers citing
"Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs"
50 / 203 papers shown
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Theoretical Guarantees for Causal Discovery on Large Random Graphs
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Linear Causal Discovery with Interventional Constraints
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The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
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Yanyan He
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223
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Large-Scale Bayesian Causal Discovery with Interventional Data
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141
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Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data
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173
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98
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Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case
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Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
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171
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195
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222
1
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Murat Kocaoglu
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563
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Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors
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244
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289
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Xiusi Li
Sékou-Oumar Kaba
Siamak Ravanbakhsh
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406
1
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Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
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Armeen Taeb
C. Heinze-Deml
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546
12
0
13 Mar 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery
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Haoyue Dai
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Peter Spirtes
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419
6
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Negar Kiyavash
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310
1
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Hui Xiong
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429
8
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1.4K
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295
7
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Seungheun Baek
Soyon Park
Y. T. Chok
Mogan Gim
Jaewoo Kang
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384
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31 Jan 2025
Causal Discovery via Bayesian Optimization
International Conference on Learning Representations (ICLR), 2025
Bao Duong
Sunil Gupta
Thin Nguyen
384
1
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Causal Invariance Learning via Efficient Nonconvex Optimization
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Yifan Hu
Peter Buhlmann
Zijian Guo
548
3
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Generative Intervention Models for Causal Perturbation Modeling
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Niki Kilbertus
Bernhard Schölkopf
Andreas Krause
529
5
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Sample Efficient Bayesian Learning of Causal Graphs from Interventions
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Zihan Zhou
Muhammad Qasim Elahi
Murat Kocaoglu
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349
3
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Razieh Nabi
Faramarz Fekri
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291
1
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240
2
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388
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Mert R. Sabuncu
237
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Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees
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Qiu Chengbo
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282
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Hao-ming Lin
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Jian Chen
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589
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158
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Shaogang Ren
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Nick Duffield
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281
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473
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Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
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Ian Foster
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432
4
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10 Jun 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
Amir Mohammad Karimi Mamaghan
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Yarin Gal
Yashas Annadani
Stefan Bauer
CML
321
6
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Causal Discovery with Fewer Conditional Independence Tests
Kirankumar Shiragur
Jiaqi Zhang
Caroline Uhler
CML
281
11
0
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Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
Mathieu Chevalley
Patrick Schwab
Arash Mehrjou
465
3
0
28 May 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani
P. Tigas
Stefan Bauer
Adam Foster
381
4
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Andreas Sauter
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Aske Plaat
SyDa
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316
3
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Adaptive Online Experimental Design for Causal Discovery
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Lai Wei
Murat Kocaoglu
Mahsa Ghasemi
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377
2
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Hyperplane Representations of Interventional Characteristic Imset Polytopes
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348
0
0
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Learning Cyclic Causal Models from Incomplete Data
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260
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226
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1
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Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism
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Sample, estimate, aggregate: A recipe for causal discovery foundation models
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Regina Barzilay
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570
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CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
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356
7
0
30 Jan 2024
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