Generative adversarial learning with optimal input dimension and its adaptive generator architecture
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Zhiyao, Zhou, Ling, Lin, Huazhen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
by: Tan, Zhiyao, et al.
Published: (2026)
by: Tan, Zhiyao, et al.
Published: (2026)
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)
by: Balzer, Laura B., et al.
Published: (2025)
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025)
by: Saves, Paul, et al.
Published: (2025)
Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, et al.
Published: (2024)
Global convergence of optimized adaptive importance samplers
by: Akyildiz, Ömer Deniz
Published: (2022)
by: Akyildiz, Ömer Deniz
Published: (2022)
Consensus dimension reduction via multi-view learning
by: An, Bingxue, et al.
Published: (2025)
by: An, Bingxue, et al.
Published: (2025)
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)
by: Chen, Hanxiao, et al.
Published: (2026)
Random-projection ensemble dimension reduction
by: Zhou, Wenxing, et al.
Published: (2024)
by: Zhou, Wenxing, et al.
Published: (2024)
High-dimensional semi-supervised learning: in search for optimal inference of the mean
by: Zhang, Yuqian, et al.
Published: (2019)
by: Zhang, Yuqian, et al.
Published: (2019)
Generalized Bayesian deep reinforcement learning
by: Roy, Shreya Sinha, et al.
Published: (2024)
by: Roy, Shreya Sinha, et al.
Published: (2024)
Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)
by: Helm, Hayden S., et al.
Published: (2023)
Central limit theorems for the outputs of fully convolutional neural networks with time series input
by: Betken, Annika, et al.
Published: (2026)
by: Betken, Annika, et al.
Published: (2026)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
by: Sadhukhan, Tathagata, et al.
Published: (2024)
by: Sadhukhan, Tathagata, et al.
Published: (2024)
Preconditioned Discrete-HAMS: A Second-order Irreversible Discrete Sampler
by: Zhou, Yuze, et al.
Published: (2025)
by: Zhou, Yuze, et al.
Published: (2025)
Transductive conformal inference with adaptive scores
by: Gazin, Ulysse, et al.
Published: (2023)
by: Gazin, Ulysse, et al.
Published: (2023)
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
by: Zhang, Dinghuai, et al.
Published: (2023)
by: Zhang, Dinghuai, et al.
Published: (2023)
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
by: Islam, H M Mohaimanul, et al.
Published: (2024)
by: Islam, H M Mohaimanul, et al.
Published: (2024)
Sparse Equation Matching: A Derivative-Free Learning for General-Order Dynamical Systems
by: Li, Jiaqiang, et al.
Published: (2025)
by: Li, Jiaqiang, et al.
Published: (2025)
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
by: Gu, Hyemin, et al.
Published: (2024)
by: Gu, Hyemin, et al.
Published: (2024)
Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)
by: Lin, Licong, et al.
Published: (2023)
Pareto optimal proxy metrics
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
Variance-based sensitivity analysis in the presence of correlated input variables
by: Most, Thomas
Published: (2024)
by: Most, Thomas
Published: (2024)
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
by: Shen, Yueyang, et al.
Published: (2024)
by: Shen, Yueyang, et al.
Published: (2024)
SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
by: Lin, Justin, et al.
Published: (2025)
by: Lin, Justin, et al.
Published: (2025)
Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
by: van de Wiel, Mark A., et al.
Published: (2024)
by: van de Wiel, Mark A., et al.
Published: (2024)
Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)
by: Chen, Elynn, et al.
Published: (2022)
Fairness-aware Bayes optimal functional classification
by: Hu, Xiaoyu, et al.
Published: (2025)
by: Hu, Xiaoyu, et al.
Published: (2025)
Online monotone density estimation and log-optimal calibration
by: Hore, Rohan, et al.
Published: (2026)
by: Hore, Rohan, et al.
Published: (2026)
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)
by: Wu, Shenghao, et al.
Published: (2023)
Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Personalizing black-box models for nonparametric regression with minimax optimality
by: Li, Sai, et al.
Published: (2026)
by: Li, Sai, et al.
Published: (2026)
Computing high-dimensional optimal transport by flow neural networks
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
by: Cardot, Hervé, et al.
Published: (2025)
by: Cardot, Hervé, et al.
Published: (2025)
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
by: Abry, Patrice, et al.
Published: (2025)
by: Abry, Patrice, et al.
Published: (2025)
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)
by: Li, Fengyi, et al.
Published: (2024)
Rate-optimal neural boundary detection from unlabeled noisy images
by: Kim, Kyeongho, et al.
Published: (2026)
by: Kim, Kyeongho, et al.
Published: (2026)
Causal-learn: Causal Discovery in Python
by: Zheng, Yujia, et al.
Published: (2023)
by: Zheng, Yujia, et al.
Published: (2023)
ReLU integral probability metric and its applications
by: Park, Yuha, et al.
Published: (2025)
by: Park, Yuha, et al.
Published: (2025)
Similar Items
-
Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
by: Tan, Zhiyao, et al.
Published: (2026) -
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025) -
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025) -
Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
by: Di Noia, Antonio, et al.
Published: (2024) -
Global convergence of optimized adaptive importance samplers
by: Akyildiz, Ömer Deniz
Published: (2022)