
Distributed supportvectormachine over dynamic balanced directed networks
In this paper, we consider the binary classification problem via distrib...
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FastConvergent Dynamics for Distributed Resource Allocation Over Sparse TimeVarying Networks
In this paper, distributed dynamics are deployed to solve resource alloc...
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Inverse Constrained Reinforcement Learning
Standard reinforcement learning (RL) algorithms train agents to maximize...
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Learning To Solve Differential Equations Across Initial Conditions
Recently, there has been a lot of interest in using neural networks for ...
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Bilinear Compressed Sensing under known Signs via Convex Programming
We consider the bilinear inverse problem of recovering two vectors, x∈R^...
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Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
We consider the task of recovering two real or complex mvectors from ph...
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A convex program for bilinear inversion of sparse vectors
We consider the bilinear inverse problem of recovering two vectors, x∈R^...
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Blind Deconvolutional Phase Retrieval via Convex Programming
We consider the task of recovering two real or complex mvectors from ph...
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Fast Convex Pruning of Deep Neural Networks
We develop a fast, tractable technique called NetTrim for simplifying a...
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NetTrim: Convex Pruning of Deep Neural Networks with Performance Guarantee
We introduce and analyze a new technique for model reduction for deep ne...
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Sweep Distortion Removal from THz Images via Blind Demodulation
Heavy sweep distortion induced by alignments and interreflections of la...
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Learning Shapes by Convex Composition
We present a mathematical and algorithmic scheme for learning the princi...
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Alireza Aghasi
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