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02/01/2023
A^2Q: Aggregation-Aware Quantization for Graph Neural Networks
As graph data size increases, the vast latency and memory consumption du...
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10/20/2022
Optimal plug-in Gaussian processes for modelling derivatives
Derivatives are a key nonparametric functional in wide-ranging applicati...
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05/19/2021
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
Deep convolutional neural networks have achieved remarkable progress in ...
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03/19/2021
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
There is a wide range of applications where the local extrema of a funct...
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03/04/2021
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing
BERT is the most recent Transformer-based model that achieves state-of-t...
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11/27/2020
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals
We study the posterior contraction rates of a Bayesian method with Gauss...
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06/02/2020
Non-asymptotic Analysis in Kernel Ridge Regression
We develop a general non-asymptotic analysis of learning rates in kernel...
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09/24/2019
