Saved in:
| Main Authors: | Kim, Taejoon, Wang, Haiyan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.00628 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global dense vector representations for words or items using shared parameter alternating Tweedie model
by: Kim, Taejoon, et al.
Published: (2024)
by: Kim, Taejoon, et al.
Published: (2024)
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
by: Habib, Salman, et al.
Published: (2025)
by: Habib, Salman, et al.
Published: (2025)
Learnability of high-dimensional targets by two-parameter models and gradient flow
by: Yarotsky, Dmitry
Published: (2024)
by: Yarotsky, Dmitry
Published: (2024)
High-dimensional prediction for count response via sparse exponential weights
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
by: Wang, Zijian, et al.
Published: (2025)
by: Wang, Zijian, et al.
Published: (2025)
Heterogeneous co-occurrence embedding for visual information exploration
by: Ishida, Takuro, et al.
Published: (2025)
by: Ishida, Takuro, et al.
Published: (2025)
Partially factorized variational inference for high-dimensional mixed models
by: Goplerud, Max, et al.
Published: (2023)
by: Goplerud, Max, et al.
Published: (2023)
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
by: Oh, Myeung Suk, et al.
Published: (2021)
by: Oh, Myeung Suk, et al.
Published: (2021)
Pilot Contamination-Aware Graph Attention Network for Power Control in CFmMIMO
by: Zhang, Tingting, et al.
Published: (2025)
by: Zhang, Tingting, et al.
Published: (2025)
A new model for natural groupings in high-dimensional data
by: Boutin, Mireille, et al.
Published: (2019)
by: Boutin, Mireille, et al.
Published: (2019)
Optimal service resource management strategy for IoT-based health information system considering value co-creation of users
by: Fang, Ji, et al.
Published: (2022)
by: Fang, Ji, et al.
Published: (2022)
Low-dimensional embeddings of high-dimensional data
by: de Bodt, Cyril, et al.
Published: (2025)
by: de Bodt, Cyril, et al.
Published: (2025)
Deep learning for predicting the occurrence of tipping points
by: Zhuge, Chengzuo, et al.
Published: (2024)
by: Zhuge, Chengzuo, et al.
Published: (2024)
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification
by: Kim, Jungho, et al.
Published: (2024)
by: Kim, Jungho, et al.
Published: (2024)
Latent mixed-effect models for high-dimensional longitudinal data
by: Ong, Priscilla, et al.
Published: (2024)
by: Ong, Priscilla, et al.
Published: (2024)
Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso
by: Hué, Sullivan, et al.
Published: (2025)
by: Hué, Sullivan, et al.
Published: (2025)
Spatially-aware station based car-sharing demand prediction
by: Mühlematter, Dominik J., et al.
Published: (2023)
by: Mühlematter, Dominik J., et al.
Published: (2023)
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
by: Kobak, Dmitry, et al.
Published: (2018)
by: Kobak, Dmitry, et al.
Published: (2018)
Bayesian factor zero-inflated Poisson model for multiple grouped count data
by: Kobayashi, Genya, et al.
Published: (2024)
by: Kobayashi, Genya, et al.
Published: (2024)
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)
Is your model predicting the past?
by: Hardt, Moritz, et al.
Published: (2022)
by: Hardt, Moritz, et al.
Published: (2022)
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
by: Ngo, Lam, et al.
Published: (2024)
by: Ngo, Lam, et al.
Published: (2024)
Disentangling shared and private latent factors in multimodal Variational Autoencoders
by: Märtens, Kaspar, et al.
Published: (2024)
by: Märtens, Kaspar, et al.
Published: (2024)
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning
by: Oh, Myeung Suk, et al.
Published: (2024)
by: Oh, Myeung Suk, et al.
Published: (2024)
Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features
by: Oh, Myeung Suk, et al.
Published: (2024)
by: Oh, Myeung Suk, et al.
Published: (2024)
Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds
by: Ruparell, Karan, et al.
Published: (2024)
by: Ruparell, Karan, et al.
Published: (2024)
Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data
by: Wang, Bingran, et al.
Published: (2026)
by: Wang, Bingran, et al.
Published: (2026)
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
by: Zgodic, Anja, et al.
Published: (2023)
by: Zgodic, Anja, et al.
Published: (2023)
Scaling depth capacity via zero/one-layer model expansion
by: Bu, Zhiqi
Published: (2025)
by: Bu, Zhiqi
Published: (2025)
Privacy-Preserving Quantized Federated Learning with Diverse Precision
by: Nguyen, Dang Qua, et al.
Published: (2025)
by: Nguyen, Dang Qua, et al.
Published: (2025)
Robust support vector model based on bounded asymmetric elastic net loss for binary classification
by: Du, Haiyan, et al.
Published: (2026)
by: Du, Haiyan, et al.
Published: (2026)
Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
by: Grau-Escolano, Jordi, et al.
Published: (2024)
by: Grau-Escolano, Jordi, et al.
Published: (2024)
Stabilizing black-box model selection with the inflated argmax
by: Adrian, Melissa, et al.
Published: (2024)
by: Adrian, Melissa, et al.
Published: (2024)
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
by: Zhao, Huali, et al.
Published: (2024)
by: Zhao, Huali, et al.
Published: (2024)
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
by: Piras, Davide, et al.
Published: (2024)
by: Piras, Davide, et al.
Published: (2024)
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
by: Castillo, Ismaël, et al.
Published: (2024)
by: Castillo, Ismaël, et al.
Published: (2024)
DP-Muon: Differentially Private Optimization via Matrix-Orthogonalized Momentum
by: Kim, Jihwan, et al.
Published: (2026)
by: Kim, Jihwan, et al.
Published: (2026)
How high is `high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning
by: Sansford, Hannah, et al.
Published: (2025)
by: Sansford, Hannah, et al.
Published: (2025)
Similar Items
-
Global dense vector representations for words or items using shared parameter alternating Tweedie model
by: Kim, Taejoon, et al.
Published: (2024) -
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
by: Liu, Xueqing, et al.
Published: (2023) -
Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
by: Habib, Salman, et al.
Published: (2025) -
Learnability of high-dimensional targets by two-parameter models and gradient flow
by: Yarotsky, Dmitry
Published: (2024) -
High-dimensional prediction for count response via sparse exponential weights
by: Mai, The Tien
Published: (2024)