Kartik Ahuja

Most-cited papers

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet +3 more
2021Neural Information Processing Systems376 citations
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Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020International Conference on Machine Learning310 citations
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Interventional Causal Representation Learning
Kartik Ahuja, Yixin Wang, Divyat Mahajan, Y. Bengio
2022International Conference on Machine Learning189 citations Open access
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Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, M. Cord +2 more
2022International Conference on Machine Learning117 citations
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Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang +1 more
2021International Conference on Machine Learning116 citations
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Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam +1 more
2020International Conference on Learning Representations89 citations
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Weakly Supervised Representation Learning with Sparse Perturbations
Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2022Neural Information Processing Systems82 citations Open access
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SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi +2 more
2021arXiv.org78 citations
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WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, G. Dumas +1 more
2022Trans. Mach. Learn. Res.53 citations Open access
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Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2021International Conference on Learning Representations43 citations
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Multi-Domain Causal Representation Learning via Weak Distributional Invariances
Kartik Ahuja, Amin Mansouri, Yixin Wang
2023International Conference on Artificial Intelligence and Statistics32 citations Open access
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A Closer Look at In-Context Learning under Distribution Shifts
Kartik Ahuja, D. Lopez-Paz
2023arXiv.org31 citations Open access
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Why does Throwing Away Data Improve Worst-Group Error?
K. Chaudhuri, Kartik Ahuja, M. Arjovsky, D. Lopez-Paz
2022International Conference on Machine Learning29 citations
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FL Games: A federated learning framework for distribution shifts
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee +1 more
2022arXiv.org25 citations Open access
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Adversarial Feature Desensitization
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja +4 more
2020Neural Information Processing Systems22 citations
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Distributed Interference Management Policies for Heterogeneous Small Cell Networks
Kartik Ahuja, Yuan-Zhang Xiao, M. van der Schaar
2014IEEE Journal on Selected Areas in Communications22 citations Open access
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Towards efficient representation identification in supervised learning
Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
2022CLEaR20 citations Open access
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A Micro-Foundation of Social Capital in Evolving Social Networks
Ahmed M. Alaa, Kartik Ahuja, M. van der Schaar
2015IEEE Transactions on Network Science and Engineering17 citations Open access
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DPSCREEN: Dynamic Personalized Screening
Kartik Ahuja, W. Zame, M. van der Schaar
2017Neural Information Processing Systems15 citations
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Efficient Interference Management Policies for Femtocell Networks
Kartik Ahuja, Yuan-Zhang Xiao, M. van der Schaar
2015IEEE Transactions on Wireless Communications15 citations Open access
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Estimating Kullback-Leibler Divergence Using Kernel Machines
Kartik Ahuja
2019Asilomar Conference on Signals, Systems and Computers14 citations Open access
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Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
2021International Conference on Artificial Intelligence and Statistics13 citations
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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa +4 more
2022Trans. Mach. Learn. Res.10 citations Open access
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Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, K. Ramamurthy, Kartik Ahuja, V. Arya
2022Neural Information Processing Systems9 citations Open access
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Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
2020International Conference on Artificial Intelligence and Statistics9 citations
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On the Identifiability of Quantized Factors
Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, P. Vincent
2023CLEaR7 citations
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Reusable Slotwise Mechanisms
Bailey Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong N. Nguyen +3 more
2023Neural Information Processing Systems6 citations Open access
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Conditionally independent data generation
Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei +2 more
2021Conference on Uncertainty in Artificial Intelligence6 citations
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Treatment Effect Estimation Using Invariant Risk Minimization
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei +2 more
2021IEEE International Conference on Acoustics, Speech, and Signal Processing3 citations Open access
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Dynamic Matching and Allocation of Tasks
Kartik Ahuja, M. van der Schaar
2016ACM Trans. Economics and Comput.3 citations Open access
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Self-Organizing Networks of Information Gathering Cognitive Agents
Ahmed M. Alaa, Kartik Ahuja, M. van der Schaar
2015IEEE Transactions on Cognitive Communications and Networking3 citations Open access
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A Theory of Individualism, Collectivism and Economic Outcomes
Kartik Ahuja, M. van der Schaar, W. Zame
20153 citations
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Joint Concordance Index
Kartik Ahuja, M. van der Schaar
2018Asilomar Conference on Signals, Systems and Computers2 citations Open access
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Optimal Piecewise Local-Linear Approximations
Kartik Ahuja, W. Zame, M. van der Schaar
20182 citations
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Dynamic Assessments, Matching and Allocation of Tasks
Kartik Ahuja, M. van der Schaar
20162 citations
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Spectrum sharing for delay-sensitive applications with continuing QoS guarantees
Yuan-Zhang Xiao, Kartik Ahuja, M. van der Schaar
20142014 IEEE Global Communications Conference2 citations
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Working alone and working with others: implications for the malthusian era
Kartik Ahuja, M. van der Schaar, W. Zame
2019Economic Theory1 citations
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Optimization Methods for Resource Allocation and Machine Learning Applications
Kartik Ahuja
20191 citations
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Risk-Stratify: Confident Stratification Of Patients Based On Risk
Kartik Ahuja, M. van der Schaar
2018arXiv.org1 citations
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Individualism, Collectivism and Economic Outcomes: A Theory and Some Evidence∗
Kartik Ahuja, M. van der Schaar, W. Zame
20171 citations
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Towards a theory of societal co-evolution: Individualism versus collectivism
Kartik Ahuja, Simpson Zhang, M. van der Schaar
2014IEEE Global Conference on Signal and Information Processing1 citations Open access
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Extended Abstract Track
Amin Mansouri, Jason S. Hartford, Kartik Ahuja, Y. Bengio +4 more
20220 citations
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On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
20200 citations
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Supplement for Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
20200 citations
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Learning to Initialize Gradient Descent Using Gradient Descent
Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney
2020arXiv.org0 citations
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Optimal Piecewise Approximations for Model Interpretation
Kartik Ahuja, W. Zame, M. van der Schaar
2019Asilomar Conference on Signals, Systems and Computers0 citations
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Generalized Concordance for Competing Risks
Kartik Ahuja, M. van der Schaar
20180 citations
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Piecewise Approximations of Black Box Models for Model Interpretation
Kartik Ahuja, W. Zame, M. van der Schaar
2018arXiv.org0 citations
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Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection
Kartik Ahuja, M. van der Schaar
2016arXiv.org0 citations
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Repeated Matching and Learning for Task Allocation
Kartik Ahuja, M. van der Schaar
20160 citations
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