Saved in:
| Main Authors: | Kim, Taejoon, Wang, Haiyan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.00623 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Matrix factorization and prediction for high dimensional co-occurrence count data via shared parameter alternating zero inflated Gamma model
by: Kim, Taejoon, et al.
Published: (2024)
by: Kim, Taejoon, et al.
Published: (2024)
Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
by: Habib, Salman, et al.
Published: (2025)
by: Habib, Salman, 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)
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)
by: Zheng, Yan, et al.
Published: (2025)
Random pairing MLE for estimation of item parameters in Rasch model
by: Yang, Yuepeng, et al.
Published: (2024)
by: Yang, Yuepeng, et al.
Published: (2024)
Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
by: Tang, Wenpin, et al.
Published: (2026)
by: Tang, Wenpin, et al.
Published: (2026)
In-Situ Tweedie Discrete Diffusion Models
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Energy-Tweedie: Score meets Score, Energy meets Energy
by: Leban, Andrej
Published: (2025)
by: Leban, Andrej
Published: (2025)
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
by: Khelifa, Naïl, et al.
Published: (2025)
by: Khelifa, Naïl, et al.
Published: (2025)
Sparse $ε$ insensitive zone bounded asymmetric elastic net support vector machines for pattern classification
by: Du, Haiyan, et al.
Published: (2026)
by: Du, Haiyan, et al.
Published: (2026)
Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
by: So, Banghee, et al.
Published: (2024)
by: So, Banghee, et al.
Published: (2024)
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)
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
by: Luo, Jiajun, et al.
Published: (2023)
by: Luo, Jiajun, et al.
Published: (2023)
Distribution-free inference for LightGBM and GLM with Tweedie loss
by: Manna, Alokesh, et al.
Published: (2025)
by: Manna, Alokesh, et al.
Published: (2025)
Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
by: Tacconelli, Roberto
Published: (2026)
by: Tacconelli, Roberto
Published: (2026)
Meta-learning of shared linear representations beyond well-specified linear regression
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
But what is your honest answer? Aiding LLM-judges with honest alternatives using steering vectors
by: Eshuijs, Leon, et al.
Published: (2025)
by: Eshuijs, Leon, et al.
Published: (2025)
MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation
by: James, Elisabeth Sommer, et al.
Published: (2026)
by: James, Elisabeth Sommer, et al.
Published: (2026)
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)
Bayesian model-averaging stochastic item selection for adaptive testing
by: Su, Tina, et al.
Published: (2025)
by: Su, Tina, et al.
Published: (2025)
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)
Deep learning models for representing out-of-vocabulary words
by: Lochter, Johannes V., et al.
Published: (2020)
by: Lochter, Johannes V., et al.
Published: (2020)
Privacy-Preserving Quantized Federated Learning with Diverse Precision
by: Nguyen, Dang Qua, et al.
Published: (2025)
by: Nguyen, Dang Qua, et al.
Published: (2025)
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
by: Jiang, Xinke, et al.
Published: (2023)
by: Jiang, Xinke, et al.
Published: (2023)
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Using item recommendations and LLMs in marketing email titles
by: Jobson, Deddy, et al.
Published: (2025)
by: Jobson, Deddy, et al.
Published: (2025)
E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion
by: Zhan, Zhihao, et al.
Published: (2025)
by: Zhan, Zhihao, et al.
Published: (2025)
Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models
by: Park, Chicago Y., et al.
Published: (2024)
by: Park, Chicago Y., et al.
Published: (2024)
Bilinear representation mitigates reversal curse and enables consistent model editing
by: Kim, Dong-Kyum, et al.
Published: (2025)
by: Kim, Dong-Kyum, et al.
Published: (2025)
Recent advances in interpretable machine learning using structure-based protein representations
by: Vecchietti, Luiz Felipe, et al.
Published: (2024)
by: Vecchietti, Luiz Felipe, et al.
Published: (2024)
Phylo2Vec: a vector representation for binary trees
by: Penn, Matthew J, et al.
Published: (2023)
by: Penn, Matthew J, et al.
Published: (2023)
Structure-aware Hypergraph Transformer for Diagnosis Prediction in Electronic Health Records
by: Wang, Haiyan, et al.
Published: (2025)
by: Wang, Haiyan, et al.
Published: (2025)
The co-varying ties between networks and item responses via latent variables
by: Wang, Selena, et al.
Published: (2024)
by: Wang, Selena, et al.
Published: (2024)
Perturbed examples reveal invariances shared by language models
by: Rawal, Ruchit, et al.
Published: (2023)
by: Rawal, Ruchit, et al.
Published: (2023)
Quantum generative model on bicycle-sharing system and an application
by: Nemoto, Fumio, et al.
Published: (2025)
by: Nemoto, Fumio, et al.
Published: (2025)
Distributional Shrinkage I: Universal Denoiser Beyond Tweedie's Formula
by: Liang, Tengyuan
Published: (2025)
by: Liang, Tengyuan
Published: (2025)
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
by: Roh, Daeyoung, et al.
Published: (2025)
by: Roh, Daeyoung, et al.
Published: (2025)
Evaluating the performance-deviation of itemKNN in RecBole and LensKit
by: Schmidt, Michael, et al.
Published: (2024)
by: Schmidt, Michael, et al.
Published: (2024)
GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets
by: Yao, Zhangyang, et al.
Published: (2026)
by: Yao, Zhangyang, et al.
Published: (2026)
Similar Items
-
Matrix factorization and prediction for high dimensional co-occurrence count data via shared parameter alternating zero inflated Gamma model
by: Kim, Taejoon, et al.
Published: (2024) -
Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
by: Habib, Salman, 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) -
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025) -
Random pairing MLE for estimation of item parameters in Rasch model
by: Yang, Yuepeng, et al.
Published: (2024)