Saved in:
| Main Authors: | Zhang, Weijia, Ling, Chun Kai, Zhang, Xuanhui |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.15566 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
Overcoming Dependent Censoring in the Evaluation of Survival Models
by: Lillelund, Christian Marius, et al.
Published: (2025)
by: Lillelund, Christian Marius, et al.
Published: (2025)
Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
by: Kim, Jong-Min, et al.
Published: (2025)
by: Kim, Jong-Min, et al.
Published: (2025)
Deep Partially Linear Transformation Model for Right-Censored Survival Data
by: Yin, Junkai, et al.
Published: (2024)
by: Yin, Junkai, et al.
Published: (2024)
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
by: Wang, Qinxin, et al.
Published: (2024)
by: Wang, Qinxin, et al.
Published: (2024)
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
by: Chen, George H.
Published: (2022)
by: Chen, George H.
Published: (2022)
Adaptive Experimentation for Censored Survival Outcomes
by: Wang, Yuxin, et al.
Published: (2026)
by: Wang, Yuxin, et al.
Published: (2026)
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
by: Sesia, Matteo, et al.
Published: (2024)
by: Sesia, Matteo, et al.
Published: (2024)
Censor Dependent Variational Inference
by: Liu, Chuanhui, et al.
Published: (2025)
by: Liu, Chuanhui, et al.
Published: (2025)
Copula Discrepancy: Benchmarking Dependence Structure
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
by: Shahin, Ahmed H., et al.
Published: (2023)
by: Shahin, Ahmed H., et al.
Published: (2023)
Identifiable Bayesian Deep Generative Copulas with Unknown Layer Widths for Data with Arbitrary Marginal Distributions
by: Feldman, Joseph, et al.
Published: (2026)
by: Feldman, Joseph, et al.
Published: (2026)
Learning Survival Models with Right-Censored Reporting Delays
by: Shikuri, Yuta, et al.
Published: (2025)
by: Shikuri, Yuta, et al.
Published: (2025)
Copula-ResLogit: A Deep-Copula Framework for Unobserved Confounding Effects
by: Kamal, Kimia, et al.
Published: (2026)
by: Kamal, Kimia, et al.
Published: (2026)
Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Counterfactual Generation with Identifiability Guarantees
by: Yan, Hanqi, et al.
Published: (2024)
by: Yan, Hanqi, et al.
Published: (2024)
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2024)
by: Tang, Wei, et al.
Published: (2024)
Detecting Changes in Causal Dependence with Kernels and Copulas
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
by: Welch, Ryan, et al.
Published: (2024)
by: Welch, Ryan, et al.
Published: (2024)
Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
by: Kubota, Kohsuke, et al.
Published: (2026)
by: Kubota, Kohsuke, et al.
Published: (2026)
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
by: Zhang, Ling, et al.
Published: (2023)
by: Zhang, Ling, et al.
Published: (2023)
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
by: Huk, David, et al.
Published: (2025)
by: Huk, David, et al.
Published: (2025)
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)
by: Hung, Yu-Heng, et al.
Published: (2025)
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Vector Copula Variational Inference and Dependent Block Posterior Approximations
by: Fu, Yu, et al.
Published: (2025)
by: Fu, Yu, et al.
Published: (2025)
Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization
by: Zhang, Yaoyu, et al.
Published: (2024)
by: Zhang, Yaoyu, et al.
Published: (2024)
Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
by: Xu, Shenbo, et al.
Published: (2024)
by: Xu, Shenbo, et al.
Published: (2024)
Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2025)
by: Tang, Wei, et al.
Published: (2025)
Random Survival Forest for Censored Functional Data
by: Romano, Elvira, et al.
Published: (2024)
by: Romano, Elvira, et al.
Published: (2024)
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
by: Yue, Hailin, et al.
Published: (2025)
by: Yue, Hailin, et al.
Published: (2025)
Deep Learning for Survival Analysis: A Review
by: Wiegrebe, Simon, et al.
Published: (2023)
by: Wiegrebe, Simon, et al.
Published: (2023)
Identified-Set Geometry of Distributional Model Extraction under Top-$K$ Censored API Access
by: Nie, Wenhua, et al.
Published: (2026)
by: Nie, Wenhua, et al.
Published: (2026)
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
by: Sun, Xiaotong, et al.
Published: (2024)
by: Sun, Xiaotong, et al.
Published: (2024)
Discrete Copula Diffusion
by: Liu, Anji, et al.
Published: (2024)
by: Liu, Anji, et al.
Published: (2024)
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns
by: Deng, Lin, et al.
Published: (2023)
by: Deng, Lin, et al.
Published: (2023)
Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction
by: Lin, Bo-Yi, et al.
Published: (2024)
by: Lin, Bo-Yi, et al.
Published: (2024)
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
by: Jain, Anchit, et al.
Published: (2026)
by: Jain, Anchit, et al.
Published: (2026)
Multi-Instance Partial-Label Learning with Margin Adjustment
by: Tang, Wei, et al.
Published: (2025)
by: Tang, Wei, et al.
Published: (2025)
Deep End-to-End Survival Analysis with Temporal Consistency
by: Vieyra, Mariana Vargas, et al.
Published: (2024)
by: Vieyra, Mariana Vargas, et al.
Published: (2024)
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
by: Zhang, Shihao, et al.
Published: (2025)
by: Zhang, Shihao, et al.
Published: (2025)
Similar Items
-
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
by: Liu, Xin, et al.
Published: (2024) -
Overcoming Dependent Censoring in the Evaluation of Survival Models
by: Lillelund, Christian Marius, et al.
Published: (2025) -
Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
by: Kim, Jong-Min, et al.
Published: (2025) -
Deep Partially Linear Transformation Model for Right-Censored Survival Data
by: Yin, Junkai, et al.
Published: (2024) -
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
by: Wang, Qinxin, et al.
Published: (2024)