Cover Image

Online selective conformal inference: adaptive scores, convergence rate and optimality

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Humbert, Pierre, Gazin, Ulysse, Heller, Ruth, Roquain, Etienne
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selecting informative conformal prediction sets with false coverage rate control
by: Gazin, Ulysse, et al.
Published: (2024)

Transductive conformal inference with adaptive scores
by: Gazin, Ulysse, et al.
Published: (2023)

Powerful batch conformal prediction for classification
by: Gazin, Ulysse, et al.
Published: (2024)

Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)

Post hoc inference via joint family-wise error rate control
by: Blanchard, Gilles, et al.
Published: (2017)

On min-Storey estimators for multiple testing and conformal novelty detection
by: Zijun, Gao, et al.
Published: (2026)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)

Marginal and training-conditional guarantees in one-shot federated conformal prediction
by: Humbert, Pierre, et al.
Published: (2024)

Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
by: Yakovlev, Konstantin, et al.
Published: (2025)

Metric space valued Fréchet regression
by: Györfi, László, et al.
Published: (2026)

Predictive inference for time series: why is split conformal effective despite temporal dependence?
by: Barber, Rina Foygel, et al.
Published: (2025)

On the rates of convergence for learning with convolutional neural networks
by: Yang, Yunfei, et al.
Published: (2024)

To bootstrap or to rollout? An optimal and adaptive interpolation
by: Mou, Wenlong, et al.
Published: (2024)

Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026)

Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)

Structured Prediction in Online Learning
by: Boudart, Pierre, et al.
Published: (2024)

UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
by: Han, Qiyang, et al.
Published: (2024)

Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)

Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
by: Bellec, Pierre C
Published: (2025)

On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent
by: Kohler, Michael, et al.
Published: (2023)

False discovery proportion envelopes with m-consistency
by: Meah, Iqraa, et al.
Published: (2023)

Improved convergence rate of kNN graph Laplacians: differentiable self-tuned affinity
by: Cheng, Xiuyuan, et al.
Published: (2024)

Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
by: Bellec, Pierre C, et al.
Published: (2021)

Network Learning with Semi-relaxed Gromov-Wasserstein
by: Dufour, Charles, et al.
Published: (2026)

Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)

The optimal betting wealth growth rate
by: Ram, Ashwin, et al.
Published: (2026)

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)

Structural adaptation and rate accelerated estimation in bivariate functional data
by: Kassi, Omar, et al.
Published: (2024)

High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026)

Minimax optimal submatrix detection: Sharp non-asymptotic rates
by: Knight, Parker, et al.
Published: (2026)

Approximate full conformal prediction in an RKHS
by: Razafindrakoto, Davidson Lova, et al.
Published: (2026)

Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
by: Sadhukhan, Tathagata, et al.
Published: (2024)

Proper scoring rules for estimation and forecast evaluation
by: Waghmare, Kartik, et al.
Published: (2025)

Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
by: Jiang, Yiheng, et al.
Published: (2023)

An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)

Optimal score estimation via empirical Bayes smoothing
by: Wibisono, Andre, et al.
Published: (2024)

Universal distribution of the empirical coverage in split conformal prediction
by: F, Paulo C. Marques
Published: (2023)

Statistical inference for pairwise comparison models
by: Han, Ruijian, et al.
Published: (2024)

Variational inference via radial transport
by: Ghafourpour, Luca, et al.
Published: (2026)

Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)