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08/27/2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Linear scalarization, i.e., combining all loss functions by a weighted s...
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07/05/2023
SoK: Privacy-Preserving Data Synthesis
As the prevalence of data analysis grows, safeguarding data privacy has ...
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07/19/2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond
We consider vertical logistic regression (VLR) trained with mini-batch g...
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10/21/2021
Actor-critic is implicitly biased towards high entropy optimal policies
We show that the simplest actor-critic method – a linear softmax policy ...
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10/14/2021
Towards Understanding the Data Dependency of Mixup-style Training
In the Mixup training paradigm, a model is trained using convex combinat...
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12/20/2019
