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Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization


Dec 19, 2022
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

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ASGNN: Graph Neural Networks with Adaptive Structure


Oct 03, 2022
Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao

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INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks


Jul 28, 2022
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

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A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization


Jul 12, 2022
Songtao Lu

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* This work has been accepted by the Thirty-ninth International Conference on Machine Learning. (Some typos in the ICML proceedings are corrected in this version.) 

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Understanding Benign Overfitting in Nested Meta Learning


Jun 27, 2022
Lisha Chen, Songtao Lu, Tianyi Chen

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* Conference submission in May 2022 

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Distributed Adversarial Training to Robustify Deep Neural Networks at Scale


Jun 13, 2022
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu

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Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning


Mar 03, 2022
Alex Gu, Songtao Lu, Parikshit Ram, Lily Weng

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Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks


Nov 04, 2021
Shuai Ma, Fan Zhang, Songtao Lu, Hang Li, Ruixin Yang, Sihua Shao, Jiaheng Wang, Shiyin Li

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* 14 pages, 13 figures, accepted by IEEE Transactions on Wireless Communications 

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Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective


Jun 17, 2021
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu

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* fixed some typos in the proofs 

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Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition


Jun 12, 2021
Yihong Dong, Ying Peng, Muqiao Yang, Songtao Lu, Qingjiang Shi

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