conftrace_

categorical variable

13 papers

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Co-occurring keywords

gradient estimator (59) variance reduction (523) discrete latent variable (43) graphical model (864) thompson sampling (237) bayesian optimization (624) importance sampling (318) black-box optimization (183) tree-based model (33) multiple imputation (7)

Papers

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 NIPS 2022
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021
Coupled Gradient Estimators for Discrete Latent Variables NIPS 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021
Exploiting Categorical Structure Using Tree-Based Methods AISTATS 2020
The Potts-Ising model for discrete multivariate data NIPS 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 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