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07/17/2023
Learning for Counterfactual Fairness from Observational Data
Fairness-aware machine learning has attracted a surge of attention in ma...
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05/25/2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Data subsampling is widely used to speed up the training of large-scale ...
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03/11/2023
AutoMLP: Automated MLP for Sequential Recommendations
Sequential recommender systems aim to predict users' next interested ite...
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10/16/2022
CLEAR: Generative Counterfactual Explanations on Graphs
Counterfactual explanations promote explainability in machine learning m...
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04/25/2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
Self-attention models have achieved state-of-the-art performance in sequ...
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01/10/2022
Learning Fair Node Representations with Graph Counterfactual Fairness
Fair machine learning aims to mitigate the biases of model predictions a...
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01/16/2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
This work considers the out-of-distribution (OOD) prediction problem whe...
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11/22/2019
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Recommendation is one of the critical applications that helps users find...
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07/06/2019
I Am Not What I Write: Privacy Preserving Text Representation Learning
Online users generate tremendous amounts of textual information by parti...
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06/08/2019
Learning Individual Treatment Effects from Networked Observational Data
With convenient access to observational data, learning individual causal...
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05/04/2019
Detecting Pathogenic Social Media Accounts without Content or Network Structure
The spread of harmful mis-information in social media is a pressing prob...
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11/23/2018
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
The overturning of the Internet Privacy Rules by the Federal Communicati...
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09/25/2018
A Survey of Learning Causality with Data: Problems and Methods
The era of big data provides researchers with convenient access to copio...
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08/09/2018
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Modeling spillover effects from observational data is an important probl...
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12/25/2017
