Bikramjit Das

12 papers B 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up.
IEEE Trans. Wirel. Commun.
Jiaqi Zhu, Bikramjit Das, Yong Xie, Nikolaos Pappas, Howard H. Yang
2025 J jnl
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up.
CoRR
Jiaqi Zhu, Bikramjit Das, Yong Xie, Nikolaos Pappas, Howard H. Yang
2025 B conf
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping.
WiOpt
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard H. Yang
2025 J jnl
Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction.
CoRR
Sithumi Wickramasinghe, Bikramjit Das, Dorien Herremans
2025 B conf
Towards Federated Learning Over the Air: Why Scaling Up Helps?
WiOpt
Jiaqi Zhu, Bikramjit Das, Nikolaos Pappas, Howard H. Yang
2024 J jnl
A deep neural network framework for detection and identification of bengal tigers.
Innov. Syst. Softw. Eng.
Suman Bhattacharya, Mahamuda Sultana, Bikramjit Das, Biplab Roy
2024 J jnl
On heavy-tailed risks under Gaussian copula: The effects of marginal transformation.
J. Multivar. Anal.
Bikramjit Das, Vicky Fasen-Hartmann
2024 J jnl
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping.
CoRR
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard H. Yang
2021 J jnl
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor.
Oper. Res.
Bikramjit Das, Anulekha Dhara, Karthik Natarajan
2021 J jnl
Worst-Case Expected Shortfall with Univariate and Bivariate Marginals.
INFORMS J. Comput.
Anulekha Dhara, Bikramjit Das, Karthik Natarajan
2018 J jnl
Risk contagion under regular variation and asymptotic tail independence.
J. Multivar. Anal.
Bikramjit Das, Vicky Fasen-Hartmann
2013 J jnl
Four theorems and a financial crisis.
Int. J. Approx. Reason.
Bikramjit Das, Paul Embrechts, Vicky Fasen