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09/06/2023
Enhancing Event Sequence Modeling with Contrastive Relational Inference
Neural temporal point processes(TPPs) have shown promise for modeling co...
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08/23/2023
Trustworthy Representation Learning Across Domains
As AI systems have obtained significant performance to be deployed widel...
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08/21/2023
Leveraging Large Language Models for Pre-trained Recommender Systems
Recent advancements in recommendation systems have shifted towards more ...
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08/21/2023
Enhancing Recommender Systems with Large Language Model Reasoning Graphs
Recommendation systems aim to provide users with relevant suggestions, b...
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07/29/2023
Continual Learning in Predictive Autoscaling
Predictive Autoscaling is used to forecast the workloads of servers and ...
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03/03/2023
Continual Causal Inference with Incremental Observational Data
The era of big data has witnessed an increasing availability of observat...
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02/25/2023
Fair Attribute Completion on Graph with Missing Attributes
Tackling unfairness in graph learning models is a challenging task, as t...
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02/02/2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Causal inference has numerous real-world applications in many domains, s...
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01/03/2023
Continual Treatment Effect Estimation: Challenges and Opportunities
A further understanding of cause and effect within observational data is...
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09/20/2022
Incorporating Casual Analysis into Diversified and Logical Response Generation
Although the Conditional Variational AutoEncoder (CVAE) model can genera...
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08/22/2022
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Marketing campaigns are a set of strategic activities that can promote a...
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03/10/2022
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Estimating treatment effects from observational data provides insights a...
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02/22/2022
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data
The foremost challenge to causal inference with real-world data is to ha...
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06/05/2021
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Treatment effect estimation from observational data is a critical resear...
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09/15/2020
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
The dramatically growing availability of observational data is being wit...
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02/05/2020
