conditional distribution

Investigating the Histogram Loss in Regression JMLR 2026 A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models ICML 2025 Distributionally Robust Policy Learning under Concept Drifts ICML 2025 Feature Attribution for Deep Learning Models through Total Variance Decomposition MIDL 2025 Flowing Datasets with Wasserstein over Wasserstein Gradient Flows ICML 2025 Learning conditional distributions on continuous spaces JMLR 2025 On the Consistent Recovery of Joint Distributions from Conditionals AISTATS 2025 Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025 TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data ICML 2025 Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024 Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NeurIPS 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes MLHC 2024 Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation NeurIPS 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer ICML 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 MMD-based Variable Importance for Distributional Random Forest AISTATS 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests NAACL 2024 Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes ICML 2024 Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner NeurIPS 2024 Structure-based drug design by denoising voxel grids ICML 2024 What does guidance do? A fine-grained analysis in a simple setting NeurIPS 2024 Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data JMLR 2023