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Counterfactual Inference
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Adaptively-weighted Nearest Neighbors for Matrix Completion
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
Counterfactual Inference under Thompson Sampling
Counterfactual experience augmented off-policy reinforcement learning
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition
Robust Counterfactual Inference in Markov Decision Processes
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models
Controllable Sequence Editing for Biological and Clinical Trajectories
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoning
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Multimodal Sentiment Analysis Based on Causal Reasoning
Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles
Do LLMs Have the Generalization Ability in Conducting Causal Inference?
Counterfactual Causal Inference in Natural Language with Large Language Models
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Modality-Balanced Learning for Multimedia Recommendation
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference
Self-Distilled Disentangled Learning for Counterfactual Prediction
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
A Counterfactual Analysis of the Dishonest Casino
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks
Conformal Counterfactual Inference under Hidden Confounding
Disentangling ID and Modality Effects for Session-based Recommendation
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
Counterfactual contrastive learning: robust representations via causal image synthesis
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification
Doubly Abductive Counterfactual Inference for Text-based Image Editing
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice
Counterfactual Influence in Markov Decision Processes
Debiasing Recommendation with Personal Popularity
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset
A General Neural Causal Model for Interactive Recommendation
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