output
20152025
most citedSimple and Deep Graph Convolutional Networks

402 citations

Showing stat.MLShow all

5 papers · 1 filter

stat.ML20207 cited

Learning Optimal Tree Models Under Beam Search

Jingwei Zhuo, Ziru Xu, Wei Dai +4

Retrieving relevant targets from an extremely large target set under computational limits is a common challenge for information retrieval and recommendation systems. Tree models, w…

stat.ML2020

Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness

Huijie Feng, Chunpeng Wu, Guoyang Chen +2

Recently smoothing deep neural network based classifiers via isotropic Gaussian perturbation is shown to be an effective and scalable way to provide state-of-the-art probabilistic…

stat.ML20194 cited

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement

Ming Lin, Xiaomin Song, Qi Qian +4

Satellite-based positioning system such as GPS often suffers from large amount of noise that degrades the positioning accuracy dramatically especially in real-time applications. In…

stat.ML2019

Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder

Yuchi Zhang, Yongliang Wang, Liping Zhang +2

Diversity plays a vital role in many text generating applications. In recent years, Conditional Variational Auto Encoders (CVAE) have shown promising performances for this task. Ho…

stat.ML2019

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee

Ming Lin, Shuang Qiu, Jieping Ye +5

Factorization machine (FM) is a popular machine learning model to capture the second order feature interactions. The optimal learning guarantee of FM and its generalized version is…