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OptimalPrivateandCommunicationConstraint DistributedGoodness-of-FitTestingforDiscrete DistributionsintheLargeSampleRegime
Westudy distributed goodness-of-fit testing for discrete distribution under bandwidth and differential privacy constraints.
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Graph classifiers are vulnerable to topological attacks.
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
To obtain useful guarantees, it is necessary to study data models that encode structure reflective of settings of interest.
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
For training ResNet-50 on ImageNet, our 5-bit block Householder quantizer achieves only 0.5% validation accuracy loss relative to QA T, comparable to the existing INT8 baseline.
