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Counterfactual Inference

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Showing 51–100 of 124 papers

TitleStatusHype
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised DataCode0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
Counterfactual Inference of Second OpinionsCode0
Causal Inference for Knowledge Graph based RecommendationCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Counterfactual Influence in Markov Decision ProcessesCode0
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic ProgrammingCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Counterfactual Mean EmbeddingsCode0
Controllable Sequence Editing for Biological and Clinical TrajectoriesCode0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Beauty Learning and Counterfactual Inference—0
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness—0
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
A Counterfactual Analysis of the Dishonest Casino—0
Adaptive Experimental Design and Counterfactual Inference—0
Adaptively-weighted Nearest Neighbors for Matrix Completion—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Adversarial De-confounding in Individualised Treatment Effects Estimation—0
A General Neural Causal Model for Interactive Recommendation—0
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity—0
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice—0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks—0
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset—0
Predictive Coding beyond Correlations—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
Comparative Benchmarking of Causal Discovery Techniques—0
Conformal Counterfactual Inference under Hidden Confounding—0
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features—0
Cost-Effective Incentive Allocation via Structured Counterfactual Inference—0
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models—0
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
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability—0
Counterfactual Inference under Thompson Sampling—0
A General Framework for Counterfactual Learning-to-Rank—0
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning—0
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
Doubly robust nearest neighbors in factor models—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Function Driven Diffusion for Personalized Counterfactual Inference—0
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