Cover Image

Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Lang, Tang, Weijing, Ren, Zhao, Ding, Ying
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction
by: Zeng, Lang, et al.
Published: (2023)

The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
by: Li, Jichu, et al.
Published: (2026)

First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
by: Liu, Ziqi, et al.
Published: (2026)

Mini-batch Submodular Maximization
by: Schwartzman, Gregory
Published: (2024)

Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
by: Hu, Yutong, et al.
Published: (2025)

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
by: Fu, Dongqi, et al.
Published: (2024)

FuseSampleAgg: Fused Neighbor Sampling and Aggregation for Mini-batch GNNs
by: Stanković, Aleksandar
Published: (2025)

Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
by: Nguyen, Dang, et al.
Published: (2024)

Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation
by: Li, Wenda, et al.
Published: (2024)

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
by: Chen, Hao, et al.
Published: (2021)

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
by: Deng, Junwei, et al.
Published: (2024)

Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
by: Tong, Lang, et al.
Published: (2024)

Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)

AI Foundation Model for Time Series with Innovations Representation
by: Tong, Lang, et al.
Published: (2025)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
by: Ding, Yilang, et al.
Published: (2025)

Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence
by: Rahman, Mashrekur
Published: (2026)

Certified Guidance for Planning with Deep Generative Models
by: Giacomarra, Francesco, et al.
Published: (2025)

Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)

TS-RSR: A provably efficient approach for batch Bayesian Optimization
by: Ren, Zhaolin, et al.
Published: (2024)

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
by: Gui, Yu, et al.
Published: (2024)

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
by: Wei, Cunyang, et al.
Published: (2026)

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
by: Jain, Anchit, et al.
Published: (2026)

Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
by: Ghosal, Sattwik, et al.
Published: (2026)

ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
by: Fegade, Pratik, et al.
Published: (2023)

StatQAT: Statistical Quantizer Optimization for Deep Networks
by: Aktukmak, Mehmet, et al.
Published: (2026)

Statistical vs. Deep Learning Models for Estimating Substance Overdose Excess Mortality in the US
by: Krishna, Sukanya, et al.
Published: (2025)

$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning
by: Kläser, Kerstin, et al.
Published: (2024)

Practical Attribution Guidance for Rashomon Sets
by: Li, Sichao, et al.
Published: (2024)

Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Series
by: He, Junyang, et al.
Published: (2024)

Subgroup Discovery with the Cox Model
by: Izzo, Zachary, et al.
Published: (2025)

Hyperbolic Deep Learning for Foundation Models: A Survey
by: He, Neil, et al.
Published: (2025)

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution
by: Tu, Yiwen, et al.
Published: (2025)

Debiasing Mini-Batch Quadratics for Applications in Deep Learning
by: Tatzel, Lukas, et al.
Published: (2024)

ICODEN: Ordinary Differential Equation Neural Networks for Interval-Censored Data
by: Wang, Haoling, et al.
Published: (2026)

Are Large Language Models Useful for Time Series Data Analysis?
by: Tang, Francis, et al.
Published: (2024)

Position: Graph Foundation Models are Already Here
by: Mao, Haitao, et al.
Published: (2024)

Exact Bayesian Gaussian Cox Processes Using Random Integral
by: Tang, Bingjing, et al.
Published: (2024)

Statistical inference after variable selection in Cox models: A simulation study
by: Schemet, Lena, et al.
Published: (2026)

On Statistical Estimation of Edge-Reinforced Random Walks
by: Qinghua, et al.
Published: (2025)

Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
by: Ren, Weijieying, et al.
Published: (2025)