Accurate Coresets for Latent Variable Models and Regularized Regression
Fuente:
arXiv
Guardado en:
| Autores principales: | Ranjan, Sanskar, Shit, Supratim |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Deterministic Coreset for Lp Subspace
por: Chhaya, Rachit, et al.
Publicado: (2026)
por: Chhaya, Rachit, et al.
Publicado: (2026)
COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs
por: Khan, Sohel Aman, et al.
Publicado: (2026)
por: Khan, Sohel Aman, et al.
Publicado: (2026)
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
por: Ketenci, Mert, et al.
Publicado: (2023)
por: Ketenci, Mert, et al.
Publicado: (2023)
Coresets for Multiple $\ell_p$ Regression
por: Woodruff, David P., et al.
Publicado: (2024)
por: Woodruff, David P., et al.
Publicado: (2024)
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
por: Xia, Xiaobo, et al.
Publicado: (2023)
por: Xia, Xiaobo, et al.
Publicado: (2023)
Predictive Coresets
por: Flores, Bernardo
Publicado: (2025)
por: Flores, Bernardo
Publicado: (2025)
LIT-LVM: Structured Regularization for Interaction Terms in Linear Predictors using Latent Variable Models
por: Nemati, Mohammadreza, et al.
Publicado: (2025)
por: Nemati, Mohammadreza, et al.
Publicado: (2025)
Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation
por: Arthur-Loui, Heath, et al.
Publicado: (2024)
por: Arthur-Loui, Heath, et al.
Publicado: (2024)
Gradient Coreset for Federated Learning
por: Sivasubramanian, Durga, et al.
Publicado: (2024)
por: Sivasubramanian, Durga, et al.
Publicado: (2024)
Variational Bayesian Pseudo-Coreset
por: Lee, Hyungi, et al.
Publicado: (2025)
por: Lee, Hyungi, et al.
Publicado: (2025)
Fair Wasserstein Coresets
por: Xiong, Zikai, et al.
Publicado: (2023)
por: Xiong, Zikai, et al.
Publicado: (2023)
Coreset Spectral Clustering
por: Jourdan, Ben, et al.
Publicado: (2025)
por: Jourdan, Ben, et al.
Publicado: (2025)
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
por: Moser, Brian B., et al.
Publicado: (2025)
por: Moser, Brian B., et al.
Publicado: (2025)
No Dimensional Sampling Coresets for Classification
por: Alishahi, Meysam, et al.
Publicado: (2024)
por: Alishahi, Meysam, et al.
Publicado: (2024)
Coreset Markov Chain Monte Carlo
por: Chen, Naitong, et al.
Publicado: (2023)
por: Chen, Naitong, et al.
Publicado: (2023)
Coreset-Induced Conditional Velocity Flow Matching
por: Wang, Xiao, et al.
Publicado: (2026)
por: Wang, Xiao, et al.
Publicado: (2026)
Transfer Learning for Latent Variable Network Models
por: Jalan, Akhil, et al.
Publicado: (2024)
por: Jalan, Akhil, et al.
Publicado: (2024)
Deep Latent Variable Modeling of Physiological Signals
por: Vo, Khuong
Publicado: (2024)
por: Vo, Khuong
Publicado: (2024)
A Simple PTAS for Weighted $k$-means and Sensor Coverage
por: Pareek, Akash, et al.
Publicado: (2025)
por: Pareek, Akash, et al.
Publicado: (2025)
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
por: Shit, Rathin Chandra
Publicado: (2025)
por: Shit, Rathin Chandra
Publicado: (2025)
Nuclear Norm Regularized Estimation of Panel Regression Models
por: Moon, Hyungsik Roger, et al.
Publicado: (2018)
por: Moon, Hyungsik Roger, et al.
Publicado: (2018)
Distributionally Robust Coreset Selection under Covariate Shift
por: Tanaka, Tomonari, et al.
Publicado: (2025)
por: Tanaka, Tomonari, et al.
Publicado: (2025)
Coreset Selection via LLM-based Concept Bottlenecks
por: Mehra, Akshay, et al.
Publicado: (2025)
por: Mehra, Akshay, et al.
Publicado: (2025)
Challenges of Multi-Modal Coreset Selection for Depth Prediction
por: Moskvoretskii, Viktor, et al.
Publicado: (2025)
por: Moskvoretskii, Viktor, et al.
Publicado: (2025)
Coreset selection for the Sinkhorn divergence and generic smooth divergences
por: Kokot, Alex, et al.
Publicado: (2025)
por: Kokot, Alex, et al.
Publicado: (2025)
Preventing Model Collapse in Gaussian Process Latent Variable Models
por: Li, Ying, et al.
Publicado: (2024)
por: Li, Ying, et al.
Publicado: (2024)
Weighted-Sum of Gaussian Process Latent Variable Models
por: Odgers, James, et al.
Publicado: (2024)
por: Odgers, James, et al.
Publicado: (2024)
Identifying Metric Structures of Deep Latent Variable Models
por: Syrota, Stas, et al.
Publicado: (2025)
por: Syrota, Stas, et al.
Publicado: (2025)
Particle Dynamics for Latent-Variable Energy-Based Models
por: Tang, Shiqin, et al.
Publicado: (2025)
por: Tang, Shiqin, et al.
Publicado: (2025)
Latent Variable Modeling for Robust Causal Effect Estimation
por: Morimura, Tetsuro, et al.
Publicado: (2025)
por: Morimura, Tetsuro, et al.
Publicado: (2025)
HAMLOCK: HArdware-Model LOgically Combined attacK
por: Amgain, Sanskar, et al.
Publicado: (2025)
por: Amgain, Sanskar, et al.
Publicado: (2025)
Coreset Selection for Object Detection
por: Lee, Hojun, et al.
Publicado: (2024)
por: Lee, Hojun, et al.
Publicado: (2024)
Latent Spectral Regularization for Continual Learning
por: Frascaroli, Emanuele, et al.
Publicado: (2023)
por: Frascaroli, Emanuele, et al.
Publicado: (2023)
Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization
por: Wu, Jingfeng, et al.
Publicado: (2025)
por: Wu, Jingfeng, et al.
Publicado: (2025)
HyperCore: Coreset Selection under Noise via Hypersphere Models
por: Moser, Brian B., et al.
Publicado: (2025)
por: Moser, Brian B., et al.
Publicado: (2025)
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
por: Jafari, Mohammad, et al.
Publicado: (2024)
por: Jafari, Mohammad, et al.
Publicado: (2024)
Spectral Greedy Coresets for Graph Neural Networks
por: Ding, Mucong, et al.
Publicado: (2024)
por: Ding, Mucong, et al.
Publicado: (2024)
Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models
por: Clapham, Peter, et al.
Publicado: (2026)
por: Clapham, Peter, et al.
Publicado: (2026)
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
por: Zhang, Yufeng, et al.
Publicado: (2022)
por: Zhang, Yufeng, et al.
Publicado: (2022)
Bayesian Pseudo-Coresets via Contrastive Divergence
por: Tiwary, Piyush, et al.
Publicado: (2023)
por: Tiwary, Piyush, et al.
Publicado: (2023)
Ejemplares similares
-
Deterministic Coreset for Lp Subspace
por: Chhaya, Rachit, et al.
Publicado: (2026) -
COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs
por: Khan, Sohel Aman, et al.
Publicado: (2026) -
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
por: Ketenci, Mert, et al.
Publicado: (2023) -
Coresets for Multiple $\ell_p$ Regression
por: Woodruff, David P., et al.
Publicado: (2024) -
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
por: Xia, Xiaobo, et al.
Publicado: (2023)