1.6k citations · 2.7k across the 28 of their papers we have counts for
4 papers · 1 filter
Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization
Shizhan Cai, Qixin Zhang, Siyuan Ma +3
Bilevel data selection is a fundamental task with numerous applications in machine learning and statistics. A common strategy for tackling this problem is to relax the original bil…
Learning the joint distribution of two sequences using little or no paired data
Soroosh Mariooryad, Matt Shannon, Siyuan Ma +5
We present a noisy channel generative model of two sequences, for example text and speech, which enables uncovering the association between the two modalities when limited paired d…
Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement
Like Hui, Siyuan Ma, Mikhail Belkin
We apply a fast kernel method for mask-based single-channel speech enhancement. Specifically, our method solves a kernel regression problem associated to a non-smooth kernel functi…
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
In this paper we aim to formally explain the phenomenon of fast convergence of SGD observed in modern machine learning. The key observation is that most modern learning architectur…