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Causal Bandits for Linear Structural Equation Models


Aug 26, 2022
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer

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Causal Graphs Underlying Generative Models: Path to Learning with Limited Data


Jul 14, 2022
Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam

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PAC Generalization via Invariant Representations


May 31, 2022
Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai

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Fourier Representations for Black-Box Optimization over Categorical Variables


Feb 08, 2022
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das

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Auto-Transfer: Learning to Route Transferrable Representations


Feb 04, 2022
Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

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* Accepted for publication in ICLR 2022 

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Scalable Intervention Target Estimation in Linear Models


Nov 15, 2021
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer

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* 23 pages, 4 figures, NeurIPS 2021 

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AI Explainability 360: Impact and Design


Sep 24, 2021
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

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* arXiv admin note: text overlap with arXiv:1909.03012 

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Episodic Bandits with Stochastic Experts


Jul 07, 2021
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai

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Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators


Jun 24, 2021
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

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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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