4 citations · 7 across the 4 of their papers we have counts for
4 papers
Decoupling Numerical Method Based on Deep Neural Network for Nonlinear Degenerate Interface Problems
Chen Fan, Zhiyue Zhang
Interface problems depict many fundamental physical phenomena and widely apply in the engineering. However, it is challenging to develop efficient fully decoupled numerical methods…
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt +1
The popularity of bi-level optimization (BO) in deep learning has spurred a growing interest in studying gradient-based BO algorithms. However, existing algorithms involve two coup…
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus
Amrit Singh Bedi, Chen Fan, Alec Koppel +4
In this work, we quantitatively calibrate the performance of global and local models in federated learning through a multi-criterion optimization-based framework, which we cast as…
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Chen Fan, Parikshit Ram, Sijia Liu
We propose a new computationally-efficient first-order algorithm for Model-Agnostic Meta-Learning (MAML). The key enabling technique is to interpret MAML as a bilevel optimization…