Följ
Masoud Badiei
Masoud Badiei
Harvard University (PhD), Stanford University (Postdoc)
Verifierad e-postadress på stanford.edu - Startsida
Titel
Citeras av
Citeras av
År
On online energy harvesting in multiple access communication systems
MB Khuzani, P Mitran
IEEE Transactions on Information Theory 60 (3), 1883-1898, 2014
642014
On optimal online power policies for energy harvesting with finite-state Markov channels
MB Khuzani, HE Saffar, EHM Alian, P Mitran
2013 IEEE International Symposium on Information Theory, 1586-1590, 2013
232013
Stochastic primal-dual method on riemannian manifolds of bounded sectional curvature
MB Khuzani, N Li
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
212017
Distributed regularized primal-dual method: Convergence analysis and trade-offs
MB Khuzani, N Li
arXiv preprint arXiv:1609.08262, 2016
172016
On lossy joint source-channel coding in energy harvesting communication systems
MS Motlagh, MB Khuzani, P Mitran
IEEE Transactions on Communications 63 (11), 4433-4447, 2015
142015
On adaptive power control for energy harvesting communication over Markov fading channels
MB Khuzani, HE Saffar, P Mitran
IEEE Transactions on Communications 65 (2), 863-875, 2016
72016
On lossy source-channel transmission in energy harvesting communication systems
MS Motlagh, MB Khuzani, P Mitran
2014 IEEE International Symposium on Information Theory, 1181-1185, 2014
72014
Lossy source-channel communication over a phase-incoherent interference relay channel
HE Saffar, MB Khuzani, P Mitran
2012 IEEE International Symposium on Information Theory Proceedings, 1947-1951, 2012
42012
Revealing hidden patterns in deep neural network feature space continuum via manifold learning
MT Islam, Z Zhou, H Ren, MB Khuzani, D Kapp, J Zou, L Tian, JC Liao, ...
Nature Communications 14 (1), 8506, 2023
22023
Distributed regularized primal-dual method
M Badiei, N Li
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
22016
A Mean-Field Theory for Learning the Sch\"{o} nberg Measure of Radial Basis Functions
MB Khuzani, Y Ye, S Napel, L Xing
arXiv preprint arXiv:2006.13330, 2020
12020
A Mean-Field Theory for Kernel Alignment with Random Features in Generative and Discriminative Models
MB Khuzani, L Shen, S Shahrampour, L Xing
arXiv preprint arXiv:1909.11820, 2019
12019
On sample complexity of projection-free primal-dual methods for learning mixture policies in Markov decision processes
MB Khuzani, V Vasudevan, H Ren, L Xing
arXiv preprint arXiv:1903.06727, 2019
12019
On sample complexity of projection-free primal-dual methods for learning mixture policies in Markov decision processes
M Badiei Khuzani, V Vasudevan, H Ren, L Xing
arXiv e-prints, arXiv: 1903.06727, 2019
12019
On bi-directional lossy communication of correlated Gaussian sources
MB Khuzani, HE Saffar, J Haber-Kucharsky, P Mitran
2013 IEEE International Conference on Communications (ICC), 3029-3034, 2013
12013
SERM: a self-consistent deep learning solution for rapid and accurate gene expression recovery
MT Islam, JY Wang, H Ren, X Li, MB Khuzani, S Sang, L Yu, L Shen, ...
bioRxiv, 2022.01. 18.476789, 2022
2022
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions
M Badiei Khuzani, Y Ye, S Napel, L Xing
arXiv e-prints, arXiv: 2006.13330, 2020
2020
Stochastic Primal-Dual Method for Learning Mixture Policies in Markov Decision Processes
MB Khuzani, V Vasudevan, H Ren, L Xing
2019 IEEE 58th Conference on Decision and Control (CDC), 1293-1300, 2019
2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adverserial Networks
MB Khuzani, L Shen, S Shahrampour, L Xing
2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative and Discriminative Models
M Badiei Khuzani, L Shen, S Shahrampour, L Xing
arXiv e-prints, arXiv: 1909.11820, 2019
2019
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20