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12/26/2022
Statistical Mechanics of Generalization In Graph Convolution Networks
Graph neural networks (GNN) have become the default machine learning mod...
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05/13/2022
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
The generalization performance of kernel ridge regression (KRR) exhibits...
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08/27/2021
Identifying Non-Control Security-Critical Data in Program Binaries with a Deep Neural Model
As control-flow protection methods get widely deployed it is difficult f...
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09/16/2020
Universality Laws for High-Dimensional Learning with Random Features
We prove a universality theorem for learning with random features. Our r...
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06/15/2020
The Limiting Poisson Law of Massive MIMO Detection with Box Relaxation
Estimating a binary vector from noisy linear measurements is a prototypi...
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06/03/2020
SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback
Fuzzing is an increasingly popular technique for verifying software func...
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03/13/2020
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation
In this paper, we focus on the coordinate representation in human pose e...
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03/27/2019
Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression
In sparse linear regression, the SLOPE estimator generalizes LASSO by as...
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05/22/2018