Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks

24 February 2020

Papers citing "Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks"

17 / 17 papers shown

Title
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning Jingruo Sun Zachary Frangella Madeleine Udell 31 0 0 28 Jan 2025
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks Fanghui Liu L. Dadi V. Cevher 72 2 0 29 Apr 2024
Deep Reinforcement Learning: A Convex Optimization Approach Ather Gattami 24 0 0 29 Feb 2024
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization Fangzhao Zhang Mert Pilanci DiffM 45 3 0 03 Feb 2024
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models Suzanna Parkinson Greg Ongie Rebecca Willett 60 6 0 24 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 91 32 0 29 Apr 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding Chunyan Xiong Meng Lu Xiaotong Yu JIAN-PENG Cao Zhong Chen D. Guo X. Qu MLT 35 0 0 14 Apr 2023
Function Space and Critical Points of Linear Convolutional Networks Kathlén Kohn Guido Montúfar V. Shahverdi Matthew Trager 16 11 0 12 Apr 2023
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective Rahul Parhi Robert D. Nowak 23 25 0 23 Jan 2023
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 32 72 0 26 Aug 2022
Dual Convexified Convolutional Neural Networks Site Bai Chuyang Ke Jean Honorio 19 1 0 27 May 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 77 30 0 02 Feb 2022
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks Tolga Ergen Mert Pilanci 24 16 0 18 Oct 2021
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program Yifei Wang Mert Pilanci MLT MDE 47 11 0 13 Oct 2021
Parallel Deep Neural Networks Have Zero Duality Gap Yifei Wang Tolga Ergen Mert Pilanci 79 10 0 13 Oct 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 19 3 0 25 May 2021
Convex Geometry and Duality of Over-parameterized Neural Networks Tolga Ergen Mert Pilanci MLT 34 54 0 25 Feb 2020