Selected Publications

V. Gupta, D. Choudhary, P. Tang, X. Wei, X. Wang, Y. Huang, A. Kejariwal, K. Ramchandran and M. Mahoney,
“Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism”,
Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2021

V. Gupta, S. Akle, and D. DeCoste,
“Stochastic Weight Averaging in Parallel: Large-batch Training that Generalizes Well”,
International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020

V. Gupta, A. Ghosh, M. Derenzinski, R. Khanna, K. Ramchandran and M. Mahoney,
“LocalNewton: Reducing Communication Bottleneck for Distributed Learning”,
“LocalNewton: Reducing Communication Rounds for Distributed Learning”,
Uncertainty in Artificial Intelligence (UAI), 2021

V. Gupta, D. Carrano, Y. Yang, V. Shankar, T. Courtade, and K. Ramchandran
“Serverless Straggler Mitigation using Local Error-Correcting Codes”,
IEEE International Conference on Distributed Computing Systems, Singapore, 2020
Best Paper Award Runner-up (Top 3 out of 584 submissions)
[Code]

A. Aghazadeh, V. Gupta, A. DeWeese, O. Koyluoglu, and K. Ramchandran
“BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory”,
Mathematical and Scientific Machine Learning (MSML), 2021
[Code]

V. Gupta, S. Padhe, T. Courtade, and K. Ramchandran,
“Utility-based Resource Allocation and Pricing for Serverless Computing”,
Under Review, 2020
[Code]

V. Gupta, S. Kadhe, T. Courtade, M. Mahoney, and K. Ramchandran,
“OverSketched Newton: Fast Convex Optimization for Serverless Systems”,
IEEE International Conference on Big Data, 2020
[Code]
(Also a Spotlight Presentation, ICML Workshop 2019 [Video])

V. Gupta, S. Wang, T. Courtade, and K. Ramchandran,
“OverSketch: Approximate Matrix Multiplication for the Cloud”,
IEEE International Conference on Big Data, Seattle, WA, USA, 2018
[Code]

J. Zhu, Y. Pu, V. Gupta, C. Tomlin, and K. Ramchandran,
“A sequential approximation framework for coded distributed optimization,”
IEEE 55th Annual Allerton Conference Communication, Control, and Computing (Allerton), 2017

S. Kafle, V. Gupta, B. Kailkhura, T. Wimalajeewa and P. K. Varshney,
“Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Distributed Sensor Networks,”
IEEE Transactions on Signal and Information Processing over Networks, 2018

V. Gupta, S. S. Kalamkar and A. Banerjee,
“On Secure Communication Using RF Energy Harvesting Two-Way Untrusted Relay,”
IEEE Global Communications Conference (GLOBECOM), Singapore, 2017

C. Aprile, L. Baldassarre, V. Gupta, J. Yoo, M. Shoaran, Y. Leblebici and V. Cevher,
“Learning-based near-optimal area-power trade-offs in hardware design for neural signal acquisition,”
ACM Inter. Conference on Green Lakes Symposium on VLSI (GLSVLSI) 2016, Boston, USA.

V. Gupta, A. K. Sah and A. K. Chaturvedi,
“Iterative Matrix Inversion Based Low Complexity Detection in LargeMassive MIMO Systems”,
IEEE International Conference on Communications (ICC) Workshops 2016, Kuala Lumpur, Malaysia

V. Gupta, B. Kailkhura, T. Wimalajeewa and P. K. Varshney,
“Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Sensor Networks”,
Proc. of the Asilomar Conference on Signals, Systems, and Computers 2015, Pacific Grove, CA, USA

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