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Counterfactual Inference

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TitleStatusHype
Counterfactual (Non-)identifiability of Learned Structural Causal Models—0
Counterfactual Reasoning for Fair Clinical Risk Prediction—0
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II—0
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning—0
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network—0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Function Driven Diffusion for Personalized Counterfactual Inference—0
Going from a Representative Agent to Counterfactuals in Combinatorial Choice—0
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing—0
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference—0
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference—0
Causal Representation Learning for Context-Aware Face Transfer—0
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects—0
Meta-causal Learning for Single Domain Generalization—0
Mitigating Propensity Bias of Large Language Models for Recommender Systems—0
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition—0
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation—0
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles—0
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments—0
Neural Network Extrapolations with G-invariances from a Single Environment—0
On counterfactual inference with unobserved confounding—0
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
Robust Counterfactual Inference in Markov Decision Processes—0
Robust Counterfactual Inferences using Feature Learning and their Applications—0
Self-Interpretable Time Series Prediction with Counterfactual Explanations—0
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution—0
Time Series Counterfactual Inference with Hidden Confounders—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
Unbiased Learning-to-Rank with Biased Feedback—0
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA—0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Beauty Learning and Counterfactual Inference—0
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised DataCode0
Causal Inference for Knowledge Graph based RecommendationCode0
Controllable Sequence Editing for Biological and Clinical TrajectoriesCode0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware RecommendationCode0
Counterfactual Mean EmbeddingsCode0
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural NetworksCode0
Simulating counterfactualsCode0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution GeneralizationCode0
Counterfactual Influence in Markov Decision ProcessesCode0
Cycle-Balanced Representation Learning For Counterfactual InferenceCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Counterfactual Inference of Second OpinionsCode0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
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