SOTAVerified

counterfactual

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 2765 papers

TitleStatusHype
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error—0
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication—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 Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning—0
Counterfactual Off-Policy Training for Neural Response Generation—0
Counterfactual Prediction with Deep Instrumental Variables Networks—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 Guided Off-policy Transfer in Clinical Settings—0
Data Augmentations for Improved (Large) Language Model Generalization—0
A General Neural Causal Model for Interactive Recommendation—0
Counterfactually Fair Regression with Double Machine Learning—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
Assessing Heterogeneity of Treatment Effects—0
Counterfactually Evaluating Explanations in Recommender Systems—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking—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
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—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
Counterfactual Learning with General Data-generating Policies—0
Counterfactual Memorization in Neural Language Models—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 from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—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 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
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
Show:102550
← PrevPage 12 of 56Next →

No leaderboard results yet.