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TitleStatusHype
Cause and Effect: Can Large Language Models Truly Understand Causality?—0
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error—0
Counterfactual Metarules for Local and Global Recourse—0
Causal World Models by Unsupervised Deconfounding of Physical Dynamics—0
Assessing the Impact of Upselling in Online Fantasy Sports—0
Assessing the Heterogeneous Impact of Economy-Wide Shocks: A Machine Learning Approach Applied to Colombian Firms—0
Counterfactual Memorization in Neural Language Models—0
Counterfactual (Non-)identifiability of Learned Structural Causal Models—0
Counterfactual Prediction for Bundle Treatment—0
Causal Unit Selection using Tractable Arithmetic Circuits—0
A Counterfactual Explanation Framework for Retrieval Models—0
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction—0
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Counterfactually Fair Regression with Double Machine Learning—0
Data Augmentations for Improved (Large) Language Model Generalization—0
A General Neural Causal Model for Interactive Recommendation—0
Counterfactual Learning with General Data-generating Policies—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
Assessing Heterogeneity of Treatment Effects—0
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
Counterfactually Evaluating Explanations in Recommender Systems—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Causal Repair of Learning-enabled Cyber-physical Systems—0
A Sparsity Algorithm with Applications to Corporate Credit Rating—0
Ablation Based Counterfactuals—0
A framework for predicting, interpreting, and improving Learning Outcomes—0
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery—0
A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization—0
Causal policy ranking—0
Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks—0
A Short Remark on Analogical Reasoning—0
A General Framework for Counterfactual Learning-to-Rank—0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
A framework for massive scale personalized promotion—0
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution—0
Causal modelling without introducing counterfactuals or abstract distributions—0
A Semiparametric Approach to Causal Inference—0
Counterfactual Learning for Machine Translation: Degeneracies and Solutions—0
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls—0
A Counterfactual Analysis of the Dishonest Casino—0
Artificial Intelligence and Economic Theories—0
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi—0
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density—0
Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation—0
Transfer Learning for Individual Treatment Effect Estimation—0
Causal K-Means Clustering—0
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data—0
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