SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shan, Jiawei, Chen, Zhifeng, Dong, Yiming, Wang, Yazhen, Zhao, Jiwei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assumption-Lean and Data-Adaptive Post-Prediction Inference
by: Miao, Jiacheng, et al.
Published: (2023)
by: Miao, Jiacheng, et al.
Published: (2023)
Supervised Manifold Learning for Functional Data
by: Tan, Ruoxu, et al.
Published: (2025)
by: Tan, Ruoxu, et al.
Published: (2025)
midr: Learning from Black-Box Models by Maximum Interpretation Decomposition
by: Asashiba, Ryoichi, et al.
Published: (2025)
by: Asashiba, Ryoichi, et al.
Published: (2025)
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
by: Giordano, Ryan, et al.
Published: (2023)
by: Giordano, Ryan, et al.
Published: (2023)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
A Black-Box Debiasing Framework for Conditional Sampling
by: Cui, Han, et al.
Published: (2025)
by: Cui, Han, et al.
Published: (2025)
Adaptive Active Learning for Online Reliability Prediction of Satellite Electronics
by: Li, Shixiang, et al.
Published: (2026)
by: Li, Shixiang, et al.
Published: (2026)
A Semi-Supervised Kernel Two-Sample Test
by: Lee, Gyumin, et al.
Published: (2026)
by: Lee, Gyumin, et al.
Published: (2026)
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)
by: Nguyen, Drew T., et al.
Published: (2024)
Robust Variational Bayes by Min-Max Median Aggregation
by: Yan, Jiawei, et al.
Published: (2025)
by: Yan, Jiawei, et al.
Published: (2025)
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
by: Frusque, Gaëtan, et al.
Published: (2023)
by: Frusque, Gaëtan, et al.
Published: (2023)
Aggregating Conformal Prediction Sets via α-Allocation
by: Xu, Congbin, et al.
Published: (2025)
by: Xu, Congbin, et al.
Published: (2025)
Semi-Supervised U-statistics
by: Kim, Ilmun, et al.
Published: (2024)
by: Kim, Ilmun, et al.
Published: (2024)
Black Box Causal Inference: Effect Estimation via Meta Prediction
by: Bynum, Lucius E. J., et al.
Published: (2025)
by: Bynum, Lucius E. J., et al.
Published: (2025)
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
by: Matsubara, Takuo, et al.
Published: (2025)
by: Matsubara, Takuo, et al.
Published: (2025)
CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
by: Cho, Brian M, et al.
Published: (2024)
by: Cho, Brian M, et al.
Published: (2024)
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
Auditing Differential Privacy in the Black-Box Setting
by: Shi, Kaining, et al.
Published: (2025)
by: Shi, Kaining, et al.
Published: (2025)
Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)
by: Li, Yiming, et al.
Published: (2024)
SSLfmm: An R Package for Semi-Supervised Learning with a Mixed-Missingness Mechanism in Finite Mixture Models
by: McLachlan, Geoffrey J., et al.
Published: (2025)
by: McLachlan, Geoffrey J., et al.
Published: (2025)
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)
by: Chen, Hanxiao, et al.
Published: (2026)
Environment-Adaptive Covariate Selection: Learning When to Use Spurious Correlations for Out-of-Distribution Prediction
by: Zuo, Shuozhi, et al.
Published: (2026)
by: Zuo, Shuozhi, et al.
Published: (2026)
Incorporating External Controls for Estimating the Average Treatment Effect on the Treated with High-Dimensional Data: Retaining Double Robustness and Ensuring Double Safety
by: Dai, Chi-Shian, et al.
Published: (2025)
by: Dai, Chi-Shian, et al.
Published: (2025)
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2024)
by: Hu, Shouri, et al.
Published: (2024)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Active Multiple-Prediction-Powered Inference
by: Brawand, Nicholas, et al.
Published: (2026)
by: Brawand, Nicholas, et al.
Published: (2026)
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
by: Chu, Zhixuan, et al.
Published: (2024)
by: Chu, Zhixuan, et al.
Published: (2024)
Stein-Encoder: A White-Box Supervised Encoder via Stein Identities in Multi-Modal Studies
by: Zhang, Jiarui, et al.
Published: (2026)
by: Zhang, Jiarui, et al.
Published: (2026)
A Locally Adaptive Algorithm for Multiple Testing with Network Structure
by: Liang, Ziyi, et al.
Published: (2022)
by: Liang, Ziyi, et al.
Published: (2022)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)
by: Wang, Linshanshan, et al.
Published: (2025)
Adaptive Decentralized Federated Learning for Robust Optimization
by: Wu, Shuyuan, et al.
Published: (2025)
by: Wu, Shuyuan, et al.
Published: (2025)
Prediction-Powered Adaptive Shrinkage Estimation
by: Li, Sida, et al.
Published: (2025)
by: Li, Sida, et al.
Published: (2025)
Self-Supervised Learning with Gaussian Processes
by: Duan, Yunshan, et al.
Published: (2025)
by: Duan, Yunshan, et al.
Published: (2025)
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
by: Chen, Haoyuan, et al.
Published: (2024)
by: Chen, Haoyuan, et al.
Published: (2024)
Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization
by: Bao, Yajie, et al.
Published: (2026)
by: Bao, Yajie, et al.
Published: (2026)
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
by: Lekeufack, Jordan, et al.
Published: (2023)
by: Lekeufack, Jordan, et al.
Published: (2023)
Semi-Supervised Mixture Models under the Concept of Missing at Radom with Margin Confidence and Aranda Ordaz Function
by: Liao, Jinyang, et al.
Published: (2026)
by: Liao, Jinyang, et al.
Published: (2026)
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
by: Zhang, Jennifer Y., et al.
Published: (2025)
by: Zhang, Jennifer Y., et al.
Published: (2025)
Similar Items
-
Assumption-Lean and Data-Adaptive Post-Prediction Inference
by: Miao, Jiacheng, et al.
Published: (2023) -
Supervised Manifold Learning for Functional Data
by: Tan, Ruoxu, et al.
Published: (2025) -
midr: Learning from Black-Box Models by Maximum Interpretation Decomposition
by: Asashiba, Ryoichi, et al.
Published: (2025) -
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
by: Giordano, Ryan, et al.
Published: (2023) -
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)