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Predictive Price-Performance Optimization for Serverless Query Processing


Dec 16, 2021
Rathijit Sen, Abhishek Roy, Alekh Jindal


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Phoebe: A Learning-based Checkpoint Optimizer


Oct 05, 2021
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

* Proceedings of the VLDB Endowment 14 (11), 2505-2518, 2021 

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On Empirical Risk Minimization with Dependent and Heavy-Tailed Data


Sep 10, 2021
Abhishek Roy, Krishnakumar Balasubramanian, Murat A. Erdogdu

* fixed minor typos 

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Escaping Saddle-Points Faster under Interpolation-like Conditions


Sep 28, 2020
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

* To appear in NeurIPS, 2020 

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Intelligent O-RAN for Beyond 5G and 6G Wireless Networks


May 17, 2020
Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon, Sukhdeep Singh, Rahul Banerji, Jeffery H. Reed, Navrati Saxena, Seungil Yoon


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Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization


Dec 03, 2019
Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra


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Suspicion-Free Adversarial Attacks on Clustering Algorithms


Nov 16, 2019
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra

* AAAI 2020 Main Technical Conference 

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Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization


Sep 11, 2019
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra


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Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML


Aug 30, 2019
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Gowdal, Matteo Interlandi, Alekh Jindal, Kostantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu


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Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models


Jan 28, 2019
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra


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