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Topic:
Adaptation and Learning
ADAPTATION AND LEARNING
Second-order guarantees of stochastic gradient descent in non-convex optimization
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Decision-making algorithms for learning and adaptation with application to COVID-19 data
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Dual consensus proximal algorithm for multi-agent sharing problems
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Frequency-domain diffusion adaptation over networks
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Online graph learning from social interactions
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Regularized diffusion adaptation via conjugate smoothing,
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Adaptive social learning
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Belief control strategies for interactions over weakly-connected graphs
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Decentralized proximal gradient algorithms with linear convergence rates
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Decision learning and adaptation over multi-task networks
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