AAAI 2025 Workshop AICT Submissions

Adaptively Estimator Switching for Debiased Recommendation
Jiabo Zou, Dong Xiao
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
A Reweighting Based Approach for Treatment Effect Estimation Under Unmeasured Confounding with Non-Representative Randomized Data
Yaxuan Li, Chuan Zhou
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Enhancing the Model Robustness and Generalization in Sentence Sentiment Classification Based on Causal Representation Learning Techniques
PENG Yanyi, Xiang Li
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Exposure Mapping Function Learning for Peer Effect Estimation
Shishir Adhikari, Sourav Medya, Elena Zheleva
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Joint Training of Propensity Model and Prediction Model via Targeted Learning for Recommendation on Data Missing Not at Random
Hao Wang
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Subspace Learning for Conditional Average Treatment Effect Estimation with Unmeasured Confounding
Han Qiao
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Revealing the Limitations of Exploiting Causal Effects to Resolve Linguistic Spurious Correlations
Fengxiang Cheng, Haoxuan Li, Alina Leidinger, Robert Van Rooij
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Causal Recommendation via Machine Unlearning with a Few Unbiased Data
Meng Li, Haochen Sui
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
TimeXAI: Unified Datasets and Concept-Based Counterfactual Explanations for Time Series
Khalid Oublal, David BENHAIEM, Emmanuel LE BORGNE, Said Ladjal
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Aligning Incentives to Balance Covariates in Experiments with Selection Bias
Jiachun Li, Yang Meng, David Simchi-Levi, Chonghuan Wang
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Time-Varying Causal Survival Learning
Xiang Meng, Iavor Bojinov
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
Policy-Aware Learning of Transition Models Using a Causal Approach
Maksim Anisimov, Edwin Hamel-de le Court, Francesco Belardinelli
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
Enhancing Causal Effect Estimation from Networked Observational Data by Denoising Graph
Changlong Shi, Qiang Huang, Huiyan Sun, Yi Chang
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Integrating Transfer Entropy into Transformer for Time Series Forecasting
YongKyung Oh, Alex Bui
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
Constrained Identifiability of Causal Effects
Yizuo Chen, Adnan Darwiche
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
Modeling and Discovering Direct Causes for Predictive Models
Yizuo Chen, Amit Bhatia
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Calibrating Multiple Robust Learning for Causal Recommendation
Shuxia Gong, Chen Ma
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Causal Discovery with Adaptable AI Agents
Matteo Ceriscioli, Karthika Mohan
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Counterfactual Based Probabilistic Graphs for Explainable Money Laundering Detection
Xingzhe Sun, Dehui du
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Zihan Jiang, Dehui du, Yuanhao Liu
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Poster
- Readers: Everyone
Wald-Difference-in-Differences Estimation without Individual-Level Treatment Data
Takumi Hattori, Kohsuke Kubota, Keiichi Ochiai
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
CLOUD-CG: Clustering on Longitudinal Causal Graphs
Shinpei Nakamura-Sakai, Yuhe Gao, Chi-Hui Yen, Christoph Scheidiger, Jasjeet S Sekhon
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
A Causal World Model Underlying Next Token Prediction in GPT
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu, Estelle Aflalo, Vasudev Lal
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone
Causal Discovery for Cloud Microservice Architectures
Christopher Lohse, Diego Tsutsumi, Amadou Ba, Pavithra Harsha, Chitra K Subramanian, Martin Straesser, Marco Ruffini
- Published: 12 Dec 2024, Last Modified: 06 Mar 2025
- AAAI 2025 Workshop AICT Oral
- Readers: Everyone