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Counterfactual Inference

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TitleStatusHype
Counterfactual Inference for Consumer Choice Across Many Product CategoriesCode0
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systemsCode0
Learning Representations for Counterfactual InferenceCode0
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised DataCode0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Counterfactual inference for sequential experimentsCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Counterfactual Inference of Second OpinionsCode0
Adaptively-weighted Nearest Neighbors for Matrix CompletionCode0
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic ProgrammingCode0
Counterfactual Influence in Markov Decision ProcessesCode0
Offline Imitation Learning with Variational Counterfactual ReasoningCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelCode0
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
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 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
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
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