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TitleStatusHype
Endogenous Macrodynamics in Algorithmic RecourseCode0
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering PerspectiveCode0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
From Counterfactuals to Trees: Competitive Analysis of Model Extraction AttacksCode0
Improving Sequential Recommenders through Counterfactual Augmentation of System ExposureCode0
Doubly Robust Counterfactual Classification—0
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs—0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms—0
Double Neural Counterfactual Regret Minimization—0
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning—0
Constrained Online Decision-Making: A Unified Framework—0
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations—0
Domain aware medical image classifier interpretation by counterfactual impact analysis—0
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank—0
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach—0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference—0
Do Large Language Models Understand Logic or Just Mimick Context?—0
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates—0
Consistent Counterfactuals for Deep Models—0
Bayesian Hierarchical Models for Counterfactual Estimation—0
Do Cure Violence Programs Reduce Gun Violence? Evidence from New York City—0
Do Counterfactual Examples Complicate Adversarial Training?—0
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction—0
Bayesian Counterfactual Risk Minimization—0
A Mathematical Programming Approach to Optimal Classification Forests—0
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