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TitleStatusHype
Rethinking Causality-driven Robot Tool Segmentation with Temporal ConstraintsCode1
Causal Proxy Models for Concept-Based Model ExplanationsCode1
On the Fairness of Causal Algorithmic RecourseCode1
Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsCode1
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms—0
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach—0
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game—0
Bayesian Hierarchical Models for Counterfactual Estimation—0
Bayesian Counterfactual Risk Minimization—0
A Mathematical Programming Approach to Optimal Classification Forests—0
A Causal Inference Framework for Data Rich Environments—0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information—0
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation—0
A Machine Teaching Framework for Scalable Recognition—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion—0
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization—0
Active Inference AI Systems for Scientific Discovery—0
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability—0
Bandits with Feedback Graphs and Switching Costs—0
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems—0
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games—0
Balanced off-policy evaluation in general action spaces—0
A unified logical framework for explanations in classifier systems—0
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation—0
Backtracking Counterfactuals—0
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions—0
Automated Off-Policy Estimator Selection via Supervised Learning—0
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty—0
A Causal Inference Approach for Quantifying Research Impact—0
Compositional Physical Reasoning of Objects and Events from Videos—0
Counterfactual Copula and Its Application to the Effects of College Education on Intergenerational Mobility—0
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning—0
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search—0
Automated and Distributed Statistical Analysis of Economic Agent-Based Models—0
Actionable Recourse via GANs for Mobile Health—0
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models—0
Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand—0
Aligning Large Language Models with Counterfactual DPO—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences—0
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry—0
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases—0
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding—0
A Two-Stage Mechanism for Demand Response Markets—0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory—0
Attribution-based Explanations that Provide Recourse Cannot be Robust—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Counterfactual Conditionals in Quantified Modal Logic—0
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