Privacy-Preserving UCB Decision Process Verification via zk-SNARKs

no code implementations • 18 Apr 2024 • Xikun Jiang, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, Yuan Luo

With the increasingly widespread application of machine learning, how to strike a balance between protecting the privacy of data and algorithm parameters and ensuring the verifiability of machine learning has always been a challenge.

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent

no code implementations • 2 Feb 2023 • Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang

It is well known that the finite step-size ($h$) in Gradient Descent (GD) implicitly regularizes solutions to flatter minima.

Manifold Denoising by Nonlinear Robust Principal Component Analysis

1 code implementation • NeurIPS 2019 • He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang

This paper extends robust principal component analysis (RPCA) to nonlinear manifolds.

Denoising Dimensionality Reduction