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Counterfactual Inference

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Showing 51–100 of 124 papers

TitleStatusHype
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems—0
Counterfactual inference for sequential experiments—0
Counterfactual Inference in Duration Models with Random Censoring—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
Doubly robust nearest neighbors in factor models—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
Controllable Sequence Editing for Biological and Clinical TrajectoriesCode0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural NetworksCode0
Simulating counterfactualsCode0
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution GeneralizationCode0
Counterfactual Mean EmbeddingsCode0
Cycle-Balanced Representation Learning For Counterfactual InferenceCode0
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware RecommendationCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
Deep Kalman FiltersCode0
Counterfactual Influence in Markov Decision ProcessesCode0
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