Unobserved Variable

Unobserved variables, representing missing or latent data points influencing observed variables, pose a significant challenge across numerous scientific fields. Current research focuses on developing methods to account for these unobserved factors in various models, including graph neural networks, robust regression techniques, and variational autoencoders, often employing causal inference principles to disentangle their effects. Addressing the impact of unobserved variables is crucial for improving the accuracy and reliability of models in diverse applications, ranging from causal discovery and climate prediction to personalized medicine and AI alignment. This leads to more robust and reliable inferences and predictions in various domains.

Papers

October 28, 2024

General Causal Imputation via Synthetic Interventions
Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel
Latent Factor Unobserved Variable Synthetic Intervention

July 30, 2024

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li
Pseudo Label Negative Sampling Graph Contrastive Learning Unobserved Variable Preference Rating

July 28, 2024

Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Yuqin Yang, Mohamed Nafea, Negar Kiyavash, Kun Zhang, AmirEmad Ghassami
Causal Discovery Linear Model Causal Structure Learning Unobserved Variable Model Equivalence Measurement Error

June 11, 2024

DecoR: Deconfounding Time Series with Robust Regression
Felix Schur, Jonas Peters
Time Series Causal Inference Indoor Environment Robust Regression Unobserved Variable

June 5, 2024

Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka
Reservoir Computing Climate Data Prediction Method Unobserved Variable Spatial Correlation Weather Variable Sea Surface Temperature

March 5, 2024

CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
Son The Nguyen, Niranjan Uma Naresh, Theja Tulabandhula
Large Language Model Preference Learning Unobserved Variable Preference Datasets Robust Recovery Aware Alignment Robust Preference

February 2, 2024

Direct side information learning for zero-shot regression
Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo
Zero Shot Learning Side Information Unobserved Variable

January 19, 2024

Causal Layering via Conditional Entropy
Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese
Causal Discovery Stable Entropy Unobserved Variable Causal Strength Conditional Entropy

January 14, 2024

December 1, 2023

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang
Knowledge Tracing Non Negative Textual Response Counterfactual Reasoning Unobserved Variable

October 16, 2023

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Variational Autoencoder Treatment Effect Unobserved Heterogeneity Longitudinal Data Unobserved Variable Individual Treatment Effect

July 31, 2023

CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang
Unsupervised Learning Multi Label Image Classification Unobserved Variable Multi Label Prediction

July 12, 2023

Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Jiaqi Zhang, Chandler Squires, Kristjan Greenewald, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
Latent Causal Causal Variable Unobserved Variable Causal Disentanglement Partial Identifiability Soft Intervention

June 23, 2023

Revisiting inference after prediction
Keshav Motwani, Daniela Witten
Human Prediction Scientific Inference Predictive Inference Unobserved Variable Inferential Strategy

June 1, 2023

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
Offline Reinforcement Learning Unobserved Confounders Unobserved Variable Latent Confounding

May 11, 2023

Reinterpreting causal discovery as the task of predicting unobserved joint statistics
Dominik Janzing, Philipp M. Faller, Leena Chennuru Vankadara
Causal Discovery Related Task Causal Model Unobserved Variable Partial Correlation Sparse Causal

March 29, 2023

Federated Learning for Heterogeneous Bandits with Unobserved Contexts
Jiabin Lin, Shana Moothedath
Stochastic Way Optimal Action Contextual Multi Armed Bandit Unobserved Variable Heterogeneous Bagging

January 31, 2023

Recurrences reveal shared causal drivers of complex time series
William Gilpin
Unobserved Variable Complex Time Series Random Dynamical System Recurrence Plot

December 26, 2022

Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders
Davide Cacciarelli, Murat Kulahci, John Tyssedal
Active Learning Semi Supervised Regression Task Soft Sensor Unobserved Variable Orthogonal Statistical Learning