conftrace_

conditional density estimation

20 papers

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Also known as

CDE

Co-occurring keywords

unsupervised learning (3264) kernel methods (1097) conditional density (11) nonparametric estimation (98) reproducing kernel hilbert space (334) posterior distribution (259) likelihood-free inference (47) bayesian inference (1907) variational inference (2069) representation learning (6206)

Papers

Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Conditional Density Estimation with Histogram Trees NIPS 2024
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
LinCDE: Conditional Density Estimation via Lindsey's Method JMLR 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions AAAI 2022
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021
Graph Mixture Density Networks ICML 2021
Arbitrary Conditional Distributions with Energy NIPS 2021
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020
Gaussian Process Conditional Density Estimation NIPS 2018
Kernel Conditional Exponential Family AISTATS 2018
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation ICML 2017
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010