Pareto optimal proxy metrics
Fuente:
arXiv
Saved in:
| Main Authors: | Zito, Alessandro, Greaves, Dylan, Soriano, Jacopo, Richardson, Lee |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pareto Optimal Proxy Metrics
by: Alessandro Zito, et al.
Published: (2025)
by: Alessandro Zito, et al.
Published: (2025)
Choosing a Proxy Metric from Past Experiments
by: Tripuraneni, Nilesh, et al.
Published: (2023)
by: Tripuraneni, Nilesh, et al.
Published: (2023)
Logistic-beta processes for dependent random probabilities with beta marginals
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
Random Pareto front surfaces
by: Tu, Ben, et al.
Published: (2024)
by: Tu, Ben, et al.
Published: (2024)
Pareto Smoothed Importance Sampling
by: Vehtari, Aki, et al.
Published: (2015)
by: Vehtari, Aki, et al.
Published: (2015)
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
by: Chikahara, Yoichi, et al.
Published: (2024)
by: Chikahara, Yoichi, et al.
Published: (2024)
Robust performance metrics for imbalanced classification problems
by: Holzmann, Hajo, et al.
Published: (2024)
by: Holzmann, Hajo, et al.
Published: (2024)
Can a calibration metric be both testable and actionable?
by: Rossellini, Raphael, et al.
Published: (2025)
by: Rossellini, Raphael, et al.
Published: (2025)
ReLU integral probability metric and its applications
by: Park, Yuha, et al.
Published: (2025)
by: Park, Yuha, et al.
Published: (2025)
Fréchet random forests for metric space valued regression with non euclidean predictors
by: Capitaine, Louis, et al.
Published: (2019)
by: Capitaine, Louis, et al.
Published: (2019)
PASOA- PArticle baSed Bayesian Optimal Adaptive design
by: Iollo, Jacopo, et al.
Published: (2024)
by: Iollo, Jacopo, et al.
Published: (2024)
Partition Tree: Conditional Density Estimation over General Outcome Spaces
by: Angelim, Felipe, et al.
Published: (2026)
by: Angelim, Felipe, et al.
Published: (2026)
Online monotone density estimation and log-optimal calibration
by: Hore, Rohan, et al.
Published: (2026)
by: Hore, Rohan, et al.
Published: (2026)
Computing high-dimensional optimal transport by flow neural networks
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Personalizing black-box models for nonparametric regression with minimax optimality
by: Li, Sai, et al.
Published: (2026)
by: Li, Sai, et al.
Published: (2026)
Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)
by: Rao, Jackie, et al.
Published: (2025)
Improved prediction of future user activity in online A/B testing
by: Masoero, Lorenzo, et al.
Published: (2024)
by: Masoero, Lorenzo, et al.
Published: (2024)
A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024)
by: Beraha, Mario, et al.
Published: (2024)
High-dimensional semi-supervised learning: in search for optimal inference of the mean
by: Zhang, Yuqian, et al.
Published: (2019)
by: Zhang, Yuqian, et al.
Published: (2019)
Rate-optimal neural boundary detection from unlabeled noisy images
by: Kim, Kyeongho, et al.
Published: (2026)
by: Kim, Kyeongho, et al.
Published: (2026)
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)
by: Li, Fengyi, et al.
Published: (2024)
On metric choice in dimension reduction for Fréchet regression
by: Soale, Abdul-Nasah, et al.
Published: (2024)
by: Soale, Abdul-Nasah, et al.
Published: (2024)
Generative adversarial learning with optimal input dimension and its adaptive generator architecture
by: Tan, Zhiyao, et al.
Published: (2024)
by: Tan, Zhiyao, et al.
Published: (2024)
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
by: Li, Sai, et al.
Published: (2024)
by: Li, Sai, et al.
Published: (2024)
LIDS: LLM Summary Inference Under the Layered Lens
by: Park, Dylan, et al.
Published: (2026)
by: Park, Dylan, et al.
Published: (2026)
Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, et al.
Published: (2024)
Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)
by: Young, Elliot H., et al.
Published: (2025)
Unifying and extending Precision Recall metrics for assessing generative models
by: Sykes, Benjamin, et al.
Published: (2024)
by: Sykes, Benjamin, et al.
Published: (2024)
Entropic Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)
by: Micheli, Alessandro, et al.
Published: (2026)
Global convergence of optimized adaptive importance samplers
by: Akyildiz, Ömer Deniz
Published: (2022)
by: Akyildiz, Ömer Deniz
Published: (2022)
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)
by: Balzer, Laura B., et al.
Published: (2025)
Gradient-based optimization for variational empirical Bayes multiple regression
by: Banerjee, Saikat, et al.
Published: (2024)
by: Banerjee, Saikat, et al.
Published: (2024)
High-dimensional reliability-based design optimization using stochastic emulators
by: Moustapha, M., et al.
Published: (2026)
by: Moustapha, M., et al.
Published: (2026)
Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Topological Causal Effects
by: Kim, Kwangho, et al.
Published: (2026)
by: Kim, Kwangho, et al.
Published: (2026)
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
by: Lee, Seunghyun, et al.
Published: (2025)
by: Lee, Seunghyun, et al.
Published: (2025)
A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based Brain Age Prediction
by: Lee, Hwiyoung, et al.
Published: (2024)
by: Lee, Hwiyoung, et al.
Published: (2024)
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
by: Petit, Sébastien, et al.
Published: (2022)
by: Petit, Sébastien, et al.
Published: (2022)
Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
by: Zito, Alessandro, et al.
Published: (2024)
by: Zito, Alessandro, et al.
Published: (2024)
Similar Items
-
Pareto Optimal Proxy Metrics
by: Alessandro Zito, et al.
Published: (2025) -
Choosing a Proxy Metric from Past Experiments
by: Tripuraneni, Nilesh, et al.
Published: (2023) -
Logistic-beta processes for dependent random probabilities with beta marginals
by: Lee, Changwoo J., et al.
Published: (2024) -
Random Pareto front surfaces
by: Tu, Ben, et al.
Published: (2024) -
Pareto Smoothed Importance Sampling
by: Vehtari, Aki, et al.
Published: (2015)