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08/13/2023
The Hard-Constraint PINNs for Interface Optimal Control Problems
We show that the physics-informed neural networks (PINNs), in combinatio...
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07/01/2023
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems
We consider a general class of nonsmooth optimal control problems with p...
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05/08/2023
Breaking quadrature exactness: A spectral method for the Allen–Cahn equation on spheres
We propose a novel spectral method for the Allen–Cahn equation on sphere...
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03/13/2022
Network Bandwidth Allocation Problem For Cloud Computing
Cloud computing enables ubiquitous, convenient, and on-demand network ac...
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02/23/2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Neural networks often encounter various stringent resource constraints w...
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01/09/2022
Enhanced total variation minimization for stable image reconstruction
The total variation (TV) regularization has phenomenally boosted various...
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10/13/2021
The springback penalty for robust signal recovery
We propose a new penalty, named as the springback penalty, for construct...
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06/15/2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Bi-level optimization model is able to capture a wide range of complex l...
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03/20/2021
An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations
Identifying the discontinuous diffusion coefficient in an elliptic equat...
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02/16/2021
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization
In recent years, gradient-based methods for solving bi-level optimizatio...
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11/06/2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML
To prevent the leakage of private information while enabling automated m...
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06/27/2020
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
This paper describes an R package named flare, which implements a family...
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06/07/2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
In recent years, a variety of gradient-based first-order methods have be...
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07/06/2019
Bilevel Integrative Optimization for Ill-posed Inverse Problems
Classical optimization techniques often formulate the feasibility of the...
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04/25/2019
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
In this paper we study the stability and its trade-off with optimization...
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06/09/2017
Adaptive Consensus ADMM for Distributed Optimization
The alternating direction method of multipliers (ADMM) is commonly used ...
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04/10/2017