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07/10/2023
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments
This paper presents a decentralized algorithm for solving distributed co...
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09/17/2021
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields
This paper presents a convex-analytic framework to learn sparse graphs f...
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09/11/2021
Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference
The relaxed zero-forcing (RZF) beamformer is a quadratically-and-linearl...
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06/08/2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Motivated by the success of reinforcement learning (RL) for discrete-tim...
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10/14/2014
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces
This paper presents a stochastic behavior analysis of a kernel-based sto...
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08/05/2014
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces
We propose a novel adaptive learning algorithm based on iterative orthog...
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04/03/2014