Cover Image

Online Conformal Prediction via Universal Portfolio Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Tuo, Dobriban, Edgar, Orabona, Francesco
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Singleton-Optimized Conformal Prediction
by: Wang, Tao, et al.
Published: (2025)

A Modern Introduction to Online Learning
by: Orabona, Francesco
Published: (2019)

Optimal Decision-Making Based on Prediction Sets
by: Wang, Tao, et al.
Published: (2026)

From Betting to Empirical Bernstein LIL
by: Orabona, Francesco
Published: (2026)

A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound
by: Orabona, Francesco
Published: (2026)

SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)

Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025)

Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
by: Cutkosky, Ashok, et al.
Published: (2023)

Fair Classification by Direct Intervention on Operating Characteristics
by: Jiang, Kevin, et al.
Published: (2025)

STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
by: Voráček, Václav, et al.
Published: (2025)

Offline and Online KL-Regularized RLHF under Differential Privacy
by: Wu, Yulian, et al.
Published: (2025)

Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)

An Equivalence Between Static and Dynamic Regret Minimization
by: Jacobsen, Andrew, et al.
Published: (2024)

Conformal Predictive Portfolio Selection
by: Kato, Masahiro
Published: (2024)

Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)

MultiRisk: Multiple Risk Control via Iterative Score Thresholding
by: Joshi, Sunay, et al.
Published: (2025)

Conformal Information Pursuit for Interactively Guiding Large Language Models
by: Chan, Kwan Ho Ryan, et al.
Published: (2025)

Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)

Bayes-Optimal Classifiers under Group Fairness
by: Zeng, Xianli, et al.
Published: (2022)

New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
by: Orabona, Francesco, et al.
Published: (2025)

A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
by: Lee, Wei-Cheng, et al.
Published: (2025)

A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
by: Lee, Wei-Cheng, et al.
Published: (2025)

Synthetic-Powered Predictive Inference
by: Bashari, Meshi, et al.
Published: (2025)

Online Conformal Prediction: Enforcing monotonicity via Online Optimization
by: Rivera, Eduardo Ochoa, et al.
Published: (2026)

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
by: Zeng, Xianli, et al.
Published: (2024)

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
by: Zhou, Xingyu, et al.
Published: (2025)

Online Localized Conformal Prediction
by: Lai, Yuheng, et al.
Published: (2026)

Exploring the Noise Robustness of Online Conformal Prediction
by: Xi, Huajun, et al.
Published: (2025)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
by: Moniri, Behrad, et al.
Published: (2023)

Provable tradeoffs in adversarially robust classification
by: Dobriban, Edgar, et al.
Published: (2020)

Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment
by: Zhou, Xingyu, et al.
Published: (2025)

Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
by: Bao, Yajie, et al.
Published: (2024)

Distribution-informed Online Conformal Prediction
by: Hu, Dongjian, et al.
Published: (2025)

Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
by: Li, Dongyue, et al.
Published: (2025)

Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)

A Confidence Interval for the $\ell_2$ Expected Calibration Error
by: Sun, Yan, et al.
Published: (2024)