Consistency of Neural Causal Partial Identification

24 May 2024

Papers citing "Consistency of Neural Causal Partial Identification"

32 / 32 papers shown

Title
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 71 10 0 27 Nov 2023
Towards Bounding Causal Effects under Markov Equivalence Alexis Bellot CML 28 6 0 13 Nov 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 61 11 0 02 Jun 2023
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 46 19 0 14 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 86 37 0 30 Sep 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 73 25 0 02 Mar 2022
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 72 26 0 22 Feb 2022
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 56 63 0 12 Oct 2021
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 84 49 0 28 Sep 2021
High-Dimensional Distribution Generation Through Deep Neural Networks Dmytro Perekrestenko Léandre Eberhard Helmut Bölcskei OOD 47 6 0 26 Jul 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 73 110 0 02 Jul 2021
CLIP: Cheap Lipschitz Training of Neural Networks Leon Bungert René Raab Tim Roith Leo Schwinn Daniel Tenbrinck 51 33 0 23 Mar 2021
Generative Interventions for Causal Learning Chengzhi Mao Augustine Cha Amogh Gupta Hongya Wang Junfeng Yang Carl Vondrick CML OOD 61 65 0 22 Dec 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 48 114 0 15 Jun 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 59 160 0 06 May 2020
A General Method for Deriving Tight Symbolic Bounds on Causal Effects Michael C Sachs Gustav Jonzon A. Sjölander Erin E Gabriel 21 21 0 24 Mar 2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 55 527 0 18 Oct 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 62 130 0 30 May 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 170 477 0 12 Apr 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 179 293 0 10 Feb 2018
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 79 254 0 06 Sep 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 138 807 0 28 Apr 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 203 431 0 08 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 322 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 186 2,531 0 02 Nov 2016
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 179 1,142 0 07 Dec 2013
Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke Judea Pearl 69 255 0 27 Feb 2013
Instrumentality Tests Revisited Blai Bonet 77 91 0 10 Jan 2013
On the Testable Implications of Causal Models with Hidden Variables Jin Tian Judea Pearl CML 66 176 0 12 Dec 2012
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 385 783 0 11 Sep 2012
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension Lee-Ad Gottlieb A. Kontorovich Robert Krauthgamer 79 54 0 18 Nov 2011