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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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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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Efficient Encrypted Inference on Ensembles of Decision Trees


Mar 05, 2021
Kanthi Sarpatwar, Karthik Nandakumar, Nalini Ratha, James Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculin

* 9 pages, 6 figures 

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A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants


Feb 02, 2021
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam


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Stochastic Linear Bandits with Protected Subspace


Nov 02, 2020
Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai


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Active Structure Learning of Causal DAGs via Directed Clique Tree


Nov 01, 2020
Chandler Squires, Sara Magliacane, Kristjan Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

* NeurIPS 2020 

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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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Fair Data Integration


Jun 10, 2020
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney


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Combinatorial Black-Box Optimization with Expert Advice


Jun 06, 2020
Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan


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Invariant Risk Minimization Games


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


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A Multi-Channel Neural Graphical Event Model with Negative Evidence


Feb 21, 2020
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

* AAAI 2020 

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Warm Starting Bandits with Side Information from Confounded Data


Feb 19, 2020
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai


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Learning Global Transparent Models from Local Contrastive Explanations


Feb 19, 2020
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar


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Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes


Feb 10, 2020
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

* Total 27 pages, main paper 13 pages, references 2 pages, Appendix 12 pages 

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Differentially Private Distributed Data Summarization under Covariate Shift


Oct 28, 2019
Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu, Ashish Jagmohan, Roman Vaculin

* To appear in the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques


Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, 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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Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions


Aug 23, 2019
Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai


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Model Agnostic Contrastive Explanations for Structured Data


May 31, 2019
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri


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Leveraging Simple Model Predictions for Enhancing its Performance


May 30, 2019
Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss


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Generating Contrastive Explanations with Monotonic Attribute Functions


May 29, 2019
Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam, Chun-Chen Tu


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Size of Interventional Markov Equivalence Classes in Random DAG Models


Mar 05, 2019
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler

* 19 pages, 5 figures. Accepted to AISTATS 2019 

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Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives


Oct 29, 2018
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Paishun Ting, Karthikeyan Shanmugam, Payel Das


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TIP: Typifying the Interpretability of Procedures


Oct 29, 2018
Amit Dhurandhar, Vijay Iyengar, Ronny Luss, Karthikeyan Shanmugam


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