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Counterfactual Representation Learning with Balancing Weights

Oct 23, 2020
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin


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WAFFLe: Weight Anonymized Factorization for Federated Learning

Aug 13, 2020
Weituo Hao, Nikhil Mehta, Kevin J Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin


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Bayesian Nonparametric Weight Factorization for Continual Learning

Apr 21, 2020
Nikhil Mehta, Kevin J Liang, Lawrence Carin


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Survival Cluster Analysis

Feb 29, 2020
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao

* Accepted at ACM CHIL 2020. Code: this https URL, https://github.com/paidamoyo/survival_cluster_analysis 

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Stochastic Blockmodels meet Graph Neural Networks

May 14, 2019
Nikhil Mehta, Lawrence Carin, Piyush Rai


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Improving Natural Language Interaction with Robots Using Advice

May 12, 2019
Nikhil Mehta, Dan Goldwasser

* Accepted as a short paper at NAACL 2019 (8 pages) 

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Robust and Fast 3D Scan Alignment using Mutual Information

Sep 20, 2017
Nikhil Mehta, James R. McBride, Gaurav Pandey


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