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TitleStatusHype
KDSM: An uplift modeling framework based on knowledge distillation and sample matching—0
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves—0
Kindness in Multi-Agent Reinforcement Learning—0
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
Knowledge Graph Completion with Counterfactual Augmentation—0
Label-Efficient Training for Next Response Selection—0
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation—0
Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection—0
Large Language Models with Controllable Working Memory—0
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed—0
Last-iterate Convergence in Extensive-Form Games—0
Latent 3D Brain MRI Counterfactual—0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations—0
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis—0
Latent Event-Predictive Encodings through Counterfactual Regularization—0
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information—0
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information—0
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings—0
Learning Actionable Counterfactual Explanations in Large State Spaces—0
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions—0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects—0
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling—0
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