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04/13/2023
D-SVM over Networked Systems with Non-Ideal Linking Conditions
This paper considers distributed optimization algorithms, with applicati...
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08/30/2022
Distributed Constraint-Coupled Optimization over Lossy Networks
This paper considers distributed resource allocation and sum-preserving ...
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05/26/2022
RIGID: Robust Linear Regression with Missing Data
We present a robust framework to perform linear regression with missing ...
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03/28/2022
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics
Motivated by recent development in networking and parallel data-processi...
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09/10/2021
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks
A general nonlinear 1st-order consensus-based solution for distributed c...
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04/01/2021
Distributed support-vector-machine over dynamic balanced directed networks
In this paper, we consider the binary classification problem via distrib...
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12/15/2020
Fast-Convergent Dynamics for Distributed Resource Allocation Over Sparse Time-Varying Networks
In this paper, distributed dynamics are deployed to solve resource alloc...
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11/19/2020
Inverse Constrained Reinforcement Learning
Standard reinforcement learning (RL) algorithms train agents to maximize...
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03/26/2020
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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06/25/2019
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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04/26/2019
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
We consider the task of recovering two real or complex m-vectors from ph...
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09/22/2018
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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06/21/2018
Blind Deconvolutional Phase Retrieval via Convex Programming
We consider the task of recovering two real or complex m-vectors from ph...
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06/17/2018
Fast Convex Pruning of Deep Neural Networks
We develop a fast, tractable technique called Net-Trim for simplifying a...
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11/16/2016
Net-Trim: 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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03/29/2016
Sweep Distortion Removal from THz Images via Blind Demodulation
Heavy sweep distortion induced by alignments and inter-reflections of la...
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02/23/2016
