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Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge


Jun 22, 2021
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja


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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization


Jun 11, 2021
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish


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Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?


Jun 05, 2021
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron Courville

* Accepted to ICML2021 as long talk 

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SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization


Jun 04, 2021
Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja, Irina Rish


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Treatment Effect Estimation using Invariant Risk Minimization


Mar 13, 2021
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush Varshney, Amit Dhurandhar


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Learning to Initialize Gradient Descent Using Gradient Descent


Dec 22, 2020
Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney


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Empirical or Invariant Risk Minimization? A Sample Complexity Perspective


Oct 30, 2020
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney


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Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions


Oct 28, 2020
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar


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Invariant Risk Minimization Games


Mar 18, 2020
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar


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Estimating Kullback-Leibler Divergence Using Kernel Machines


May 02, 2019
Kartik Ahuja


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Piecewise Approximations of Black Box Models for Model Interpretation


Nov 04, 2018
Kartik Ahuja, William R. Zame, Mihaela van der Schaar


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Risk-Stratify: Confident Stratification Of Patients Based On Risk


Nov 02, 2018
Kartik Ahuja, Mihaela van der Schaar


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