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Showing 2551–2600 of 2765 papers

TitleStatusHype
Towards Logical Specification of Statistical Machine Learning—0
Off-policy Learning for Multiple Loggers—0
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making SystemsCode0
Low-Variance and Zero-Variance Baselines for Extensive-Form Games—0
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual ExplanationsCode0
Unbiased Learning to Rank: Counterfactual and Online Approaches—0
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User InteractionsCode0
Counterfactual Reasoning for Fair Clinical Risk Prediction—0
Task Selection Policies for Multitask Learning—0
Saliency Maps Generation for Automatic Text Summarization—0
Generative Counterfactual Introspection for Explainable Deep Learning—0
Explaining Predictions from Tree-based Boosting Ensembles—0
Interpretable Counterfactual Explanations Guided by PrototypesCode2
Circuit-Based Intrinsic Methods to Detect Overfitting—0
Errudite: Scalable, Reproducible, and Testable Error AnalysisCode0
The Sensitivity of Counterfactual Fairness to Unmeasured ConfoundingCode0
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning—0
Rethinking Formal Models of Partially Observable Multiagent Decision Making—0
Explaining Deep Learning Models with Constrained Adversarial ExamplesCode0
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls—0
Generating Counterfactual and Contrastive Explanations using SHAP—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Distributionally Robust Counterfactual Risk Minimization—0
Issues with post-hoc counterfactual explanations: a discussion—0
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology—0
Balanced off-policy evaluation in general action spaces—0
Counterfactual Inference for Consumer Choice Across Many Product CategoriesCode0
Finding Friend and Foe in Multi-Agent GamesCode0
Neural Replicator DynamicsCode0
Diverse Generation for Multi-Agent Sports Games—0
Counterfactual Analysis under Partial Identification Using Locally Robust Refinement—0
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games—0
The Label Complexity of Active Learning from Observational DataCode0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy—0
Learning Policies from Human Data for Skat—0
Explainable Reinforcement Learning Through a Causal LensCode0
Model-Agnostic Counterfactual Explanations for Consequential DecisionsCode1
Equal Opportunity and Affirmative Action via Counterfactual Predictions—0
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models—0
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Contrastive Fairness in Machine Learning—0
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal ModelsCode0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
A Dynamic Semantics for Causal Counterfactuals—0
Tinkering with black boxes: counterfactuals uncover modularity in generative models—0
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL—0
Solving zero-sum extensive-form games with arbitrary payoff uncertainty models—0
Beauty Learning and Counterfactual Inference—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—0
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