categorical data

Gradient Boosting Reinforcement Learning ICML 2025 On Understanding Attention-Based In-Context Learning for Categorical Data ICML 2025 Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025 Unified Discrete Diffusion for Categorical Data JMLR 2025 Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data ICML 2024 Categorical Generative Model Evaluation via Synthetic Distribution Coarsening AISTATS 2024 Variational Flow Matching for Graph Generation NeurIPS 2024 A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023 Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023 Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model CLeaR 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation NeurIPS 2022 Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables AAAI 2022 Learning to Dequantise with Truncated Flows ICLR 2022 Ordinal causal discovery UAI 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 Towards Understanding the Robustness Against Evasion Attack on Categorical Data ICLR 2022 Categorical Normalizing Flows via Continuous Transformations ICLR 2021 An Ordinal Data Clustering Algorithm with Automated Distance Learning AAAI 2020 Detecting Suspicious Timber Trades AAAI 2020 Field-wise Learning for Multi-field Categorical Data NeurIPS 2020 Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data AAAI 2019 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018