Search Results for author: Jinjie Zhang

Found 3 papers, 2 papers with code

Post-training Quantization for Neural Networks with Provable Guarantees

1 code implementation26 Jan 2022 Jinjie Zhang, Yixuan Zhou, Rayan Saab

Additionally, our error analysis expands the results of previous work on GPFQ to handle general quantization alphabets, showing that for quantizing a single-layer network, the relative square error essentially decays linearly in the number of weights -- i. e., level of over-parametrization.

Quantization

Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features

no code implementations4 Jun 2021 Jinjie Zhang, Harish Kannan, Alexander Cloninger, Rayan Saab

We propose the use of low bit-depth Sigma-Delta and distributed noise-shaping methods for quantizing the Random Fourier features (RFFs) associated with shift-invariant kernels.

Quantization

Faster Binary Embeddings for Preserving Euclidean Distances

1 code implementation ICLR 2021 Jinjie Zhang, Rayan Saab

When $\mathcal{T}$ consists of well-spread (i. e., non-sparse) vectors, our embedding method applies a stable noise-shaping quantization scheme to $A x$ where $A\in\mathbb{R}^{m\times n}$ is a sparse Gaussian random matrix.

Quantization

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