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counterfactual

Papers

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TitleStatusHype
KDSM: An uplift modeling framework based on knowledge distillation and sample matching0
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves0
Kindness in Multi-Agent Reinforcement Learning0
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition0
Knowledge-Based Counterfactual Queries for Visual Question Answering0
Knowledge Graph Completion with Counterfactual Augmentation0
Label-Efficient Training for Next Response Selection0
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation0
Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study0
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection0
Large Language Models with Controllable Working Memory0
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed0
Last-iterate Convergence in Extensive-Form Games0
Latent 3D Brain MRI Counterfactual0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations0
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis0
Latent Event-Predictive Encodings through Counterfactual Regularization0
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information0
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information0
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings0
Learning Actionable Counterfactual Explanations in Large State Spaces0
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects0
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling0
Learning Counterfactual Distributions via Kernel Nearest Neighbors0
Learning Disentangled Representations for CounterFactual Regression0
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy0
Learning for Counterfactual Fairness from Observational Data0
Learning from Bandit Feedback: An Overview of the State-of-the-art0
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders0
Learning from User Interactions with Rankings: A Unification of the Field0
Learning Generalized Gumbel-max Causal Mechanisms0
Learning Global Transparent Models Consistent with Local Contrastive Explanations0
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning0
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms0
Learning Policies from Human Data for Skat0
Learning Post-Hoc Causal Explanations for Recommendation0
Learning Robust Models for e-Commerce Product Search0
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization0
Learning Structural Causal Models from Ordering: Identifiable Flow Models0
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges0
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games0
Learning to Be Cautious0
Learning to Communicate Using Counterfactual Reasoning0
Learning to Counterfactually Explain Recommendations0
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning0
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects0
Learning to Learn to Predict Performance Regressions in Production at Meta0
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