categorical variable

Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation CLeaR 2025 Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models AISTATS 2025 Mixed-Variable Black-Box Optimisation Using Value Proposal Trees AAAI 2023 Accurate Shapley Values for explaining tree-based models AISTATS 2022 Causal Inference Through the Structural Causal Marginal Problem ICML 2022 Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 Coupled Gradient Estimators for Discrete Latent Variables NeurIPS 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 Exploiting Categorical Structure Using Tree-Based Methods AISTATS 2020 The Potts-Ising model for discrete multivariate data NeurIPS 2020 Approximate Inference in Structured Instances with Noisy Categorical Observations UAI 2019 ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables ICML 2019