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Approximate Causal Abstraction

Conference on Uncertainty in Artificial Intelligence (UAI), 2019

27 June 2019

Papers citing "Approximate Causal Abstraction"

30 / 30 papers shown

Title
Distributionally Robust Causal Abstractions Yorgos Felekis Theodoros Damoulas Paris Giampouras OOD 84 0 0 06 Oct 2025
How Causal Abstraction Underpins Computational Explanation Atticus Geiger Jacqueline Harding Thomas Icard 117 2 0 15 Aug 2025
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling Xudong Sun Alex Markham Pratik Misra Carsten Marr CML 383 0 0 12 Mar 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions H. Fokkema T. Erven Sara Magliacane 458 3 0 10 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 559 3 0 31 Jan 2025
Intuitions of Compromise: Utilitarianism vs. Contractualism Jared Moore Yejin Choi Sydney Levine 222 1 0 07 Oct 2024
Mechanistic?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024 Naomi Saphra Sarah Wiegreffe AI4CE 225 32 0 07 Oct 2024
Causally Abstracted Multi-armed Bandits Fabio Massimo Zennaro Nicholas Bishop Joel Dyer Yorgos Felekis Anisoara Calinescu Michael Wooldridge Theodoros Damoulas 311 6 0 26 Apr 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations Jing-ling Huang Zhengxuan Wu Christopher Potts Mor Geva Atticus Geiger 316 55 0 27 Feb 2024
Toward A Causal Framework for Modeling Perception Jose M. Alvarez Salvatore Ruggieri CML 319 0 0 24 Jan 2024
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation LearningEntropy (Entropy), 2023 Emanuele Marconato Baptiste Caramiaux Stefano Teso 272 20 0 14 Sep 2023
Causal Entropy and Information Gain for Measuring Causal Control F. N. F. Q. Simoes Mehdi Dastani T. V. Ommen CML 149 7 0 14 Sep 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and AbstractionsNeural Information Processing Systems (NeurIPS), 2023 D. Ibeling Thomas Icard CML 184 18 0 25 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown InterventionsNeural Information Processing Systems (NeurIPS), 2023 Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 511 80 0 01 Jun 2023
Interpretability at Scale: Identifying Causal Mechanisms in AlpacaNeural Information Processing Systems (NeurIPS), 2023 Zhengxuan Wu Atticus Geiger Thomas Icard Christopher Potts Noah D. Goodman MILM 402 108 0 15 May 2023
Localizing Model Behavior with Path Patching Nicholas W. Goldowsky-Dill Chris MacLeod L. Sato Aryaman Arora 456 122 0 12 Apr 2023
Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsCLEaR (CLEaR), 2023 Atticus Geiger Zhengxuan Wu Christopher Potts Thomas Icard Noah D. Goodman CML 451 138 0 05 Mar 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional DistributionsCLEaR (CLEaR), 2023 Fabio Massimo Zennaro Máté Drávucz G. Apachitei W. D. Widanage Theodoros Damoulas 163 17 0 14 Jan 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Jing-ling Huang Zhengxuan Wu Kyle Mahowald Christopher Potts 225 15 0 19 Dec 2022
Causal Abstraction with Soft InterventionsCLEaR (CLEaR), 2022 Riccardo Massidda Atticus Geiger Thomas Icard D. Bacciu 170 16 0 22 Nov 2022
Language Models Understand Us, PoorlyConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jared Moore LRM 138 5 0 19 Oct 2022
FACT: Learning Governing Abstractions Behind Integer SequencesNeural Information Processing Systems (NeurIPS), 2022 Peter Belcak Ard Kastrati Flavio Schenker Roger Wattenhofer 299 6 0 20 Sep 2022
Towards Computing an Optimal Abstraction for Structural Causal Models Fabio Massimo Zennaro P. Turrini Theodoros Damoulas 122 4 0 01 Aug 2022
Abstraction between Structural Causal Models: A Review of Definitions and Properties Fabio Massimo Zennaro 126 12 0 18 Jul 2022
Causal Inference Through the Structural Causal Marginal ProblemInternational Conference on Machine Learning (ICML), 2022 Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 304 26 0 02 Feb 2022
Neural Information Squeezer for Causal Emergence Jiang Zhang Kaiwei Liu CML 143 18 0 25 Jan 2022
On the Equivalence of Causal Models: A Category-Theoretic ApproachCLEaR (CLEaR), 2022 J. Otsuka H. Saigo 122 16 0 18 Jan 2022
Causal Distillation for Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Zhengxuan Wu Atticus Geiger J. Rozner Elisa Kreiss Hanson Lu Thomas Icard Christopher Potts Noah D. Goodman 261 29 0 05 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 358 93 0 01 Dec 2021
Causal Abstractions of Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 Atticus Geiger Hanson Lu Thomas Icard Christopher Potts NAI CML 330 302 0 06 Jun 2021