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Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent


Feb 15, 2021
Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain


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Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization


Feb 15, 2021
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain


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Programming by Rewards


Jul 14, 2020
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke


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OASIS: ILP-Guided Synthesis of Loop Invariants


Nov 26, 2019
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain


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Leveraging Distributional Semantics for Multi-Label Learning


Nov 10, 2017
Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick, Prateek Jain

* 10 Pages, 0 Figures, Missing Result Joint Learning Included 

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Regret Bounds for Non-decomposable Metrics with Missing Labels


Jun 07, 2016
Prateek Jain, Nagarajan Natarajan


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Learning from Binary Labels with Instance-Dependent Corruption


May 04, 2016
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan


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Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics


May 07, 2015
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon


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PU Learning for Matrix Completion


Nov 22, 2014
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon


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Prediction and Clustering in Signed Networks: A Local to Global Perspective


Mar 05, 2013
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon


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