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Compositional Models for Estimating Causal Effects

25 June 2024

Papers citing "Compositional Models for Estimating Causal Effects"

32 / 32 papers shown

Title
On The Specialization of Neural Modules Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe 114 14 0 23 Sep 2024
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 115 2 0 09 Sep 2024
What makes Models Compositional? A Theoretical View: With Supplement Parikshit Ram Tim Klinger Alexander G. Gray CoGe 62 6 0 02 May 2024
Hierarchical Causal Models Eli N. Weinstein David M. Blei CML 37 3 0 10 Jan 2024
Discovering modular solutions that generalize compositionally Simon Schug Seijin Kobayashi Yassir Akram Maciej Wolczyk Alexandra Proca J. Oswald Razvan Pascanu João Sacramento Angelika Steger 49 15 0 22 Dec 2023
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis Kensen Shi Joey Hong Yinlin Deng Pengcheng Yin Manzil Zaheer Charles Sutton 56 19 0 26 Jul 2023
Compositional Generalization from First Principles Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 84 46 0 10 Jul 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 139 79 0 22 Feb 2023
Learning Relational Causal Models with Cycles through Relational Acyclification Ragib Ahsan David Arbour Elena Zheleva 44 2 0 25 Aug 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 89 22 0 13 Jun 2022
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 105 48 0 06 Jun 2022
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 229 50 0 03 Jun 2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth M. Schaar CML 163 149 0 26 Jan 2021
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference A. Gentzel Purva Pruthi David D. Jensen CML 58 18 0 06 Oct 2020
GraphITE: Estimating Individual Effects of Graph-structured Treatments Shonosuke Harada H. Kashima CML 66 23 0 29 Sep 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 168 326 0 29 Apr 2020
Causal Relational Learning Babak Salimi Harsh Parikh Moe Kayali Sudeepa Roy Lise Getoor Dan Suciu CML 34 44 0 07 Apr 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 78 100 0 21 Jan 2020
Compositionality decomposed: how do neural networks generalise? Dieuwke Hupkes Verna Dankers Mathijs Mul Elia Bruni CoGe 152 338 0 22 Aug 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 74 197 0 23 May 2019
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 149 195 0 07 Nov 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 928 0 12 Jun 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 253 2,686 0 23 Jan 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 284 729 0 12 May 2016
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 139 1,076 0 09 Nov 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 354 2,490 0 14 Oct 2015
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 262 1,436 0 05 Apr 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 142 3,122 0 28 Feb 2015
A Sound and Complete Algorithm for Learning Causal Models from Relational Data Marc E. Maier Katerina Marazopoulou David Arbour David D. Jensen CML 76 57 0 26 Sep 2013
Object-Oriented Bayesian Networks D. Koller Avi Pfeffer UQCV 122 632 0 06 Feb 2013
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 387 786 0 11 Sep 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 471 2,955 0 28 Feb 2010