Raj Kumar Maity
Cited by
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Robust gradient descent via moment encoding and LDPC codes
RK Maity, AS Rawa, A Mazumdar
2019 IEEE International Symposium on Information Theory (ISIT), 2734-2738, 2019
vqsgd: Vector quantized stochastic gradient descent
V Gandikota, D Kane, RK Maity, A Mazumdar
International Conference on Artificial Intelligence and Statistics, 2197-2205, 2021
Communication Efficient and Byzantine Tolerant Distributed Learning
A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramachandran
2020 IEEE International Symposium on Information Theory (ISIT), 2545-2550, 2020
Communication efficient distributed approximate Newton method
A Ghosh, RK Maity, A Mazumdar, K Ramchandran
2020 IEEE International Symposium on Information Theory (ISIT), 2539-2544, 2020
High Dimensional Discrete Integration over the Hypergrid
RK Maity, A Mazumdar, S Pal
Conference on Uncertainty in Artificial Intelligence, 410-419, 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers
A Ghosh, RK Maity, A Mazumdar
arXiv preprint arXiv:2006.08737, 2020
A workload-adaptive mechanism for linear queries under local differential privacy
R McKenna, RK Maity, A Mazumdar, G Miklau
arXiv preprint arXiv:2002.01582, 2020
Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience
A Ghosh, RK Maity, A Mazumdar, K Ramchandran
arXiv preprint arXiv:2103.09424, 2021
Estimation of Shortest Path Covariance Matrices
RK Maity, C Musco
arXiv preprint arXiv:2011.09986, 2020
Shaping proto-value functions using rewards
RK Maity, C Lakshminarayanan, S Padakandla, S Bhatnagar
Proceedings of the Twenty-second European Conference on Artificial …, 2016
Maximum Coverage with Path Constraint
A Fariha, L Flodin, RK Maity
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