Finding Valid Adjustments under Non-ignorability with Minimal DAG
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Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge

22 June 2021

Karthikeyan Shanmugam

Papers citing "Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge"

11 / 11 papers shown

Title
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 66 0 0 29 Apr 2025
Local Causal Discovery for Structural Evidence of Direct Discrimination Jacqueline R. M. A. Maasch Kyra Gan Violet Chen Agni Orfanoudaki Nil-Jana Akpinar Fei Wang 21 0 0 23 May 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline R. M. A. Maasch Weishen Pan Shantanu Gupta Volodymyr Kuleshov Kyra Gan Fei Wang 8 5 0 25 Oct 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah Karthikeyan Shanmugam Murat Kocaoglu CML 31 6 0 19 Jun 2023
Local Causal Discovery for Estimating Causal Effects Shantanu Gupta David Benjamin Childers Zachary Chase Lipton CML 22 11 0 16 Feb 2023
Finding and Listing Front-door Adjustment Sets H. Jeong Jin Tian Elias Bareinboim 22 7 0 11 Oct 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 24 3 0 30 May 2022
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 25 8 0 01 Mar 2022
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 190 125 0 04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 900 0 02 Mar 2020
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 212 719 0 12 May 2016