:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Chuanhui, Wang, Xiao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.09591
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational Deep Survival Machines: Survival Regression with Censored Outcomes
by: Wang, Qinxin, et al.
Published: (2024)

Overcoming Dependent Censoring in the Evaluation of Survival Models
by: Lillelund, Christian Marius, et al.
Published: (2025)

CSAttention: Centroid-Scoring Attention for Accelerating LLM Inference
by: Song, Chuxu, et al.
Published: (2026)

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
by: Zhang, Weijia, et al.
Published: (2023)

Vector Copula Variational Inference and Dependent Block Posterior Approximations
by: Fu, Yu, et al.
Published: (2025)

Particle-based Energetic Variational Inference
by: Wang, Yiwei, et al.
Published: (2020)

Adaptive Experimentation for Censored Survival Outcomes
by: Wang, Yuxin, et al.
Published: (2026)

Bayesian Active Learning for Censored Regression
by: Hüttel, Frederik Boe, et al.
Published: (2024)

Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
by: Lou, Yujia, et al.
Published: (2025)

Neural Networks for Censored Expectile Regression Based on Data Augmentation
by: Cao, Wei, et al.
Published: (2025)

Variational Rectification Inference for Learning with Noisy Labels
by: Sun, Haoliang, et al.
Published: (2026)

Globally Convergent Variational Inference
by: McNamara, Declan, et al.
Published: (2025)

Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework
by: Li, Yuening, et al.
Published: (2024)

Rotated Mean-Field Variational Inference and Iterative Gaussianization
by: Chen, Yifan, et al.
Published: (2025)

Global Censored Quantile Random Forest
by: Zhou, Siyu, et al.
Published: (2024)

Variational Transdimensional Inference
by: Davies, Laurence, et al.
Published: (2025)

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
by: Piriyakulkij, Wasu Top, et al.
Published: (2024)

Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)

Variational Inference with Mixtures of Isotropic Gaussians
by: Petit-Talamon, Marguerite, et al.
Published: (2025)

Amortized Variational Inference: When and Why?
by: Margossian, Charles C., et al.
Published: (2023)

Deconfounding Imitation Learning with Variational Inference
by: Vuorio, Risto, et al.
Published: (2022)

Learning with Importance Weighted Variational Inference
by: Daudel, Kamélia, et al.
Published: (2024)

Particle Semi-Implicit Variational Inference
by: Lim, Jen Ning, et al.
Published: (2024)

Kernel Semi-Implicit Variational Inference
by: Cheng, Ziheng, et al.
Published: (2024)

Stepwise Variational Inference with Vine Copulas
by: Griesbauer, Elisabeth, et al.
Published: (2026)

Variational Inference, Entropy, and Orthogonality: A Unified Theory of Mixture-of-Experts
by: Su, Ye, et al.
Published: (2026)

Variational Causal Inference
by: Wu, Yulun, et al.
Published: (2022)

Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
by: Paul, Animesh Kumar, et al.
Published: (2025)

Data-Dependent Stability Analysis of Adversarial Training
by: Wang, Yihan, et al.
Published: (2024)

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
by: Nguyen, Dai Hai, et al.
Published: (2023)

The Data-Driven Censored Newsvendor Problem
by: Hssaine, Chamsi, et al.
Published: (2024)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

Dynamic Assortment Selection and Pricing with Censored Preference Feedback
by: Kim, Jung-hun, et al.
Published: (2025)

Generalization Error Bounds for Learning under Censored Feedback
by: Yang, Yifan, 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)

Slow Feature Analysis as Variational Inference Objective
by: Schüler, Merlin, et al.
Published: (2025)

Mode Collapse of Mean-Field Variational Inference
by: Sheng, Shunan, et al.
Published: (2025)

Stability-based Generalization Bounds for Variational Inference
by: Wei, Yadi, et al.
Published: (2025)

Stochastic Variational Inference with Tuneable Stochastic Annealing
by: Paisley, John, et al.
Published: (2025)

Sparse Orthogonal Variational Inference for Gaussian Processes
by: Shi, Jiaxin, et al.
Published: (2019)