Summary of Mean-field Analysis For Learning Subspace-sparse Polynomials with Gaussian Input, by Ziang Chen et al.
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Inputby Ziang Chen, Rong GeFirst submitted to…
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Inputby Ziang Chen, Rong GeFirst submitted to…
ADS: Approximate Densest Subgraph for Novel Image Discoveryby Shanfeng HuFirst submitted to arxiv on: 13…
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Trainingby Tom Sander, Maxime Sylvestre, Alain…
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Featuresby Rodrigo…
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descentby Liu Ziyin, Mingze Wang, Hongchao Li,…
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachersby…
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradientsby Yuri Fonseca, Caio Peixoto, Yuri SaporitoFirst submitted…
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Sizeby Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang,…
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programmingby Giacomo Acciarini, Atılım Güneş…
Learning Operators with Stochastic Gradient Descent in General Hilbert Spacesby Lei Shi, Jia-Qi YangFirst submitted…