Cover Image

Symbolic Density Estimation for Discrete Distributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Ziwen, Li, Meng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)

Approximate Stein Classes for Truncated Density Estimation
by: Williams, Daniel J., et al.
Published: (2023)

Score Matching for Truncated Density Estimation on a Manifold
by: Williams, Daniel J., et al.
Published: (2022)

Distributional Evaluation of Generative Models via Relative Density Ratio
by: Xu, Yuliang, et al.
Published: (2025)

Projection Pursuit Density Ratio Estimation
by: Wang, Meilin, et al.
Published: (2025)

Adaptive Kernel Density Estimation with Pre-training
by: Zhang, Ruitong, et al.
Published: (2026)

Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)

Partition Tree: Conditional Density Estimation over General Outcome Spaces
by: Angelim, Felipe, et al.
Published: (2026)

Estimating Unknown Population Sizes Using the Hypergeometric Distribution
by: Hodgson, Liam, et al.
Published: (2024)

Efficient Covariance Estimation for Sparsified Functional Data
by: Zheng, Sijie, et al.
Published: (2025)

Estimating Joint Interventional Distributions from Marginal Interventional Data
by: Mejia, Sergio Hernan Garrido, et al.
Published: (2024)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)

Preconditioned Discrete-HAMS: A Second-order Irreversible Discrete Sampler
by: Zhou, Yuze, et al.
Published: (2025)

Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
by: Wilkins-Reeves, Steven, et al.
Published: (2026)

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
by: Wang, Caixing, et al.
Published: (2024)

Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
by: Dhir, Anish, et al.
Published: (2025)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)

Discrete Causal Representation Learning
by: Zhang, Wenjin, et al.
Published: (2026)

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
by: Lee, Seunghyun, et al.
Published: (2025)

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
by: Liang, Zihan, et al.
Published: (2026)

Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
by: Liang, Zihan, et al.
Published: (2025)

Multivariate Density Estimation via Variance-Reduced Sketching
by: Peng, Yifan, et al.
Published: (2024)

Zipf Distributions from Two-Stage Symbolic Processes: Stability Under Stochastic Lexical Filtering
by: Berman, Vladimir
Published: (2025)

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
by: Li, Teng, et al.
Published: (2026)

Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
by: Li, Diantong, et al.
Published: (2024)

Amortized Vine Copulas for High-Dimensional Density and Information Estimation
by: Safaai, Houman
Published: (2026)

Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by: Liu, Siyan, et al.
Published: (2024)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
by: Lee, Seungyeon, et al.
Published: (2024)

Coarsening Bias from Variable Discretization in Causal Functionals
by: Ou, Xiaxian, et al.
Published: (2026)

Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
by: Chen, Qianyi, et al.
Published: (2025)

Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)

Riesz Regression As Direct Density Ratio Estimation
by: Kato, Masahiro
Published: (2025)

TabCF: Distributional Control Function Estimation with Tabular Foundation Models
by: Chen, Geping, et al.
Published: (2026)

Prediction-Powered Adaptive Shrinkage Estimation
by: Li, Sida, et al.
Published: (2025)

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
by: Behdin, Kayhan, et al.
Published: (2023)

Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
by: Burt, David R., et al.
Published: (2025)

Hierarchical and Density-based Causal Clustering
by: Kim, Kwangho, et al.
Published: (2024)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)

Data Fusion with Distributional Equivalence Test-then-pool
by: Yang, Linying, et al.
Published: (2026)