Distributed stochastic optimization in networks with low informational exchange

W Li, M Assaad - IEEE Transactions on Information Theory, 2021 - ieeexplore.ieee.org
… This example shows clearly the limit of the classical gradient-based methods and motivates
the use of our solution that requires low information exchange at each time. Note that limiting …

The continuous categorical: a novel simplex-valued exponential family

E Gordon-Rodriguez… - … Machine Learning, 2020 - proceedings.mlr.press
… However, this simple exchange results in a well-behaved log-… We developed two novel
sampling schemes for the CC, … to construct increasingly more informative predictors here, we stick …

Fast optimization with zeroth-order feedback in distributed, multi-user MIMO systems

O Bilenne, P Mertikopoulos… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… seek to minimize the informational exchange of MXL methods … In terms of decoding, we
consider two different schemes at the … We now derive the matrix exponential learning step and …

Accelerating convergence of replica exchange stochastic gradient MCMC via variance reduction

W Deng, Q Feng, G Karagiannis, G Lin… - arXiv preprint arXiv …, 2020 - arxiv.org
… around a few informative modes. Inspired by the successes of replica exchange, also known
… From a probabilistic point of view, reSGLD is a discretization scheme of replica exchange

Learning non-euclidean representations with SPD manifold for myoelectric pattern recognition

D Xiong, D Zhang, X Zhao, Y Chu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Abstract — How to learn informative representations from … and dictionary learning scheme
on SPD manifold for breast cancer evaluation. Tang et al. [18] present a generalized learning

Energy-delay-aware power control for reliable transmission of dynamic cell-free massive MIMO

M Makhanbet, T Lv, W Ni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… We also compare the proposed learning schemes and the matrix exponential learning (MXL)
developed in [23]. We adjust MXL to optimize power control for comparability …

The decimation scheme for symmetric matrix factorization

F Camilli, M Mézard - Journal of Physics A: Mathematical and …, 2024 - iopscience.iop.org
… the matrix scales … low temperature limit. We then study the decimation phase diagrams in
two concrete cases, the sparse Ising prior and the uniform prior, for which we show that matrix

GCS: Graph-based coordination strategy for multi-agent reinforcement learning

J Ruan, Y Du, X Xiong, D Xing, X Li, L Meng… - arXiv preprint arXiv …, 2022 - arxiv.org
… In this scheme, agents learn how to transmit informative messages and to process the messages
during training. Then agents exchange … (7) where 𝑒𝐴◦𝐴 is the matrix exponential, 𝐴 ◦ 𝐴 …

Users first: A robust two-level learning of power control in uplink ultra-dense HetNets

M Makhanbet, T Lv - IEEE Access, 2020 - ieeexplore.ieee.org
… level aids in learning the online global power control by exchanging information about …
The 2-level DCL scheme is plotted in Fig. 6 with matrix exponential learning with incomplete …

Multi-source information exchange encoding with PCNN for medical image fusion

R Nie, J Cao, D Zhou, W Qian - IEEE Transactions on Circuits …, 2020 - ieeexplore.ieee.org
… different specific features, which could be more informative for efficient clinical diagnosis. In
this … Zhang, “Infrared and visible image fusion scheme based on NSCT and low-level visual …