conftrace_

categorical datum

30 papers

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Co-occurring keywords

causal discovery (460) variational inference (2069) causal inference (1630) generative model (2892) latent class model (2) ordinal datum (11) causal direction (24) value coupling (2) distribution estimation (71) dirichlet distribution (46)

Papers

Unified Discrete Diffusion for Categorical Data JMLR 2025
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025
Variational Flow Matching for Graph Generation NIPS 2024
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening AISTATS 2024
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model CLEAR 2023
Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NIPS 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation NIPS 2022
Ordinal causal discovery UAI 2022
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables AAAI 2022
Detecting Suspicious Timber Trades AAAI 2020
Field-wise Learning for Multi-field Categorical Data NIPS 2020
An Ordinal Data Clustering Algorithm with Automated Distance Learning AAAI 2020
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data AAAI 2019
Learning Certifiably Optimal Rule Lists for Categorical Data JMLR 2018
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning IJCAI 2017
Discrete Distribution Estimation under Local Privacy ICML 2016
Clustering High Dimensional Categorical Data via Topographical Features ICML 2016
Eliciting Categorical Data for Optimal Aggregation NIPS 2016
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015