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07/14/2022
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
The rise of deep neural networks provides an important driver in optimiz...
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06/29/2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction is one of the most important machine...
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06/19/2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Recommendation is a prevalent application of machine learning that affec...
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05/14/2017
Detecting Statistical Interactions from Neural Network Weights
Interpreting deep neural networks can enable new applications for predic...
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10/27/2016
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps
Positive-definite kernel functions are fundamental elements of kernel me...
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02/12/2015
Spectral Sparsification of Random-Walk Matrix Polynomials
We consider a fundamental algorithmic question in spectral graph theory:...
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10/23/2014
Model Selection for Topic Models via Spectral Decomposition
Topic models have achieved significant successes in analyzing large-scal...
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10/20/2014