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09/15/2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Graph Neural Networks have achieved tremendous success in modeling compl...
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05/25/2023
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias
The shift between the training and testing distributions is commonly due...
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04/16/2022
Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version
We consider smooth optimization problems with a Hermitian positive semi-...
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03/13/2022
On the analysis of optimization with fixed-rank matrices: a quotient geometric view
We study a type of Riemannian gradient descent (RGD) algorithm, designed...
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09/21/2021
Achieving Counterfactual Fairness for Causal Bandit
In online recommendation, customers arrive in a sequential and stochasti...
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11/17/2020
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
In this paper, we propose a new ecursive mportance ketching algorithm fo...
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11/02/2020
the Connection between Cryptography and Differential Privacy: a Survey
Due to the successful application of data analysis technology in many fi...
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10/22/2020
Achieving User-Side Fairness in Contextual Bandits
Personalized recommendation based on multi-arm bandit (MAB) algorithms h...
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10/18/2020
Unexpected Information Leakage of Differential Privacy Due to Linear Property of Queries
The differential privacy is a widely accepted conception of privacy pres...
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11/11/2019
Fairness through Equality of Effort
Fair machine learning is receiving an increasing attention in machine le...
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05/22/2018
