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TitleStatusHype
COLD Decoding: Energy-based Constrained Text Generation with Langevin DynamicsCode1
Distributional Counterfactual Analysis in High-Dimensional Setup—0
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four—0
Causal Effect Identification in Cluster DAGs—0
Counterfactual Phenotyping with Censored Time-to-EventsCode2
A Dutch book argument for belief consistency—0
Counterfactual Regret Minimization for Anti-jamming Game of Frequency Agile Radar—0
Diffusion Causal Models for Counterfactual EstimationCode1
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual ReasoningCode1
Generalizable Information Theoretic Causal Representation—0
Synthetic Control As Online Linear Regression—0
Single Trajectory Nonparametric Learning of Nonlinear Dynamics—0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
Realistic Counterfactual Explanations with Learned Relations—0
Explaining Reject Options of Learning Vector Quantization ClassifiersCode0
Counterfactual inference for sequential experiments—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
Locating and Editing Factual Associations in GPTCode3
Evaluating the impact of quarantine measures on COVID-19 spread—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Validating Causal Inference Methods—0
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park—0
Counterfactual Multi-Token Fairness in Text Classification—0
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation—0
Decoupling Local and Global Representations of Time SeriesCode1
Near-Optimal Learning of Extensive-Form Games with Imperfect Information—0
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits—0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Learning to reason about and to act on physical cascading events—0
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space—0
Causal Explanations and XAI—0
Explaining Reinforcement Learning Policies through Counterfactual TrajectoriesCode0
Counterfactual Plans under Distributional AmbiguityCode0
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study—0
On the Robustness of Sparse Counterfactual Explanations to Adverse PerturbationsCode1
A Causal Lens for Controllable Text Generation—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
Homophily in preferences or meetings? Identifying and estimating an iterative network formation model—0
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesisCode0
Principled Diverse Counterfactuals in Multilinear Models—0
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis—0
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI—0
Making a (Counterfactual) Difference One Rationale at a TimeCode0
Kernel methods for long term dose response curves—0
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