4 citations · 7 across the 4 of their papers we have counts for
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cs.LG2023
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…
cs.LG2022★ 3 cited
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…
cs.LG2021★ 4 cited
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…