Optimization and Control · Mathematics
Last Iterate Convergence of AdaGrad-Norm for Convex Non-Smooth Optimization
Margarita Preobrazhenskaia, Makar Sidorov, Igor Preobrazhenskii, Eduard Gorbunov
2026-04-14
Machine Learning · Computer Science
Convergence and Implicit Bias of Gradient Flow on Overparametrized Linear Networks
Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada
2022-05-17
Computer Vision and Pattern Recognition · Computer Science
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification
Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam +5
2024-10-28
Computer Vision and Pattern Recognition · Computer Science
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik +2
2020-08-25
Neural and Evolutionary Computing · Computer Science
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks
Burak Kakillioglu, Yantao Lu, Senem Velipasalar
2018-05-25
Machine Learning · Computer Science
Understanding Overparameterization in Generative Adversarial Networks
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding +3
2021-04-13
Machine Learning · Statistics
On Generalization of Adaptive Methods for Over-parameterized Linear Regression
Vatsal Shah, Soumya Basu, Anastasios Kyrillidis, Sujay Sanghavi
2020-12-01
Machine Learning · Computer Science
Convergence of Implicit Gradient Descent for Training Two-Layer Physics-Informed Neural Networks
Xianliang Xu, Ting Du, Wang Kong, Bin Shan +2
2025-08-04