Saved in:
| Main Authors: | Bairaktari, Konstantina, Hu, Lunjia, Nguyen, Huy L., Ullman, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.17749 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sample-efficient Multiclass Calibration under $\ell_{p}$ Error
by: Bairaktari, Konstantina, et al.
Published: (2025)
by: Bairaktari, Konstantina, et al.
Published: (2025)
Near-optimal Swap Regret Minimization for Convex Losses
by: Hu, Lunjia, et al.
Published: (2026)
by: Hu, Lunjia, et al.
Published: (2026)
Privacy in Metalearning and Multitask Learning: Modeling and Separations
by: Aliakbarpour, Maryam, et al.
Published: (2024)
by: Aliakbarpour, Maryam, et al.
Published: (2024)
Metalearning with Very Few Samples Per Task
by: Aliakbarpour, Maryam, et al.
Published: (2023)
by: Aliakbarpour, Maryam, et al.
Published: (2023)
Full Swap Regret and Discretized Calibration
by: Fishelson, Maxwell, et al.
Published: (2025)
by: Fishelson, Maxwell, et al.
Published: (2025)
Efficient Swap Multicalibration of Elicitable Properties
by: Hu, Lunjia, et al.
Published: (2025)
by: Hu, Lunjia, et al.
Published: (2025)
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
by: Bairaktari, Konstantina, et al.
Published: (2025)
by: Bairaktari, Konstantina, et al.
Published: (2025)
Calibration Error for Decision Making
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Calibration through the Lens of Indistinguishability
by: Gopalan, Parikshit, et al.
Published: (2025)
by: Gopalan, Parikshit, et al.
Published: (2025)
A Perfectly Truthful Calibration Measure
by: Hartline, Jason, et al.
Published: (2025)
by: Hartline, Jason, et al.
Published: (2025)
High-Dimensional Calibration from Swap Regret
by: Fishelson, Maxwell, et al.
Published: (2025)
by: Fishelson, Maxwell, et al.
Published: (2025)
Simultaneous Swap Regret Minimization via KL-Calibration
by: Luo, Haipeng, et al.
Published: (2025)
by: Luo, Haipeng, et al.
Published: (2025)
Truthful Calibration Errors for Multi-Class Prediction
by: Lu, Yuxuan, et al.
Published: (2025)
by: Lu, Yuxuan, et al.
Published: (2025)
Testing Calibration in Nearly-Linear Time
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
On Computationally Efficient Multi-Class Calibration
by: Gopalan, Parikshit, et al.
Published: (2024)
by: Gopalan, Parikshit, et al.
Published: (2024)
Efficient Swap Regret Minimization in Combinatorial Bandits
by: Kontogiannis, Andreas, et al.
Published: (2026)
by: Kontogiannis, Andreas, et al.
Published: (2026)
Generalized and Unified Equivalences between Hardness and Pseudoentropy
by: Hu, Lunjia, et al.
Published: (2025)
by: Hu, Lunjia, et al.
Published: (2025)
Swap Regret Minimization Through Response-Based Approachability
by: Anagnostides, Ioannis, et al.
Published: (2026)
by: Anagnostides, Ioannis, et al.
Published: (2026)
Sparsity-Based Interpolation of External, Internal and Swap Regret
by: Lu, Zhou, et al.
Published: (2025)
by: Lu, Zhou, et al.
Published: (2025)
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
by: Dwork, Cynthia, et al.
Published: (2025)
by: Dwork, Cynthia, et al.
Published: (2025)
Forecasting for Swap Regret for All Downstream Agents
by: Roth, Aaron, et al.
Published: (2024)
by: Roth, Aaron, et al.
Published: (2024)
Multigroup Robustness
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction
by: Hu, Lunjia, et al.
Published: (2026)
by: Hu, Lunjia, et al.
Published: (2026)
Omnipredicting Single-Index Models with Multi-Index Models
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
Forecast Evaluation and the Relationship of Regret and Calibration
by: Derr, Rabanus, et al.
Published: (2024)
by: Derr, Rabanus, et al.
Published: (2024)
Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses
by: Lu, Jiuyao, et al.
Published: (2025)
by: Lu, Jiuyao, et al.
Published: (2025)
Private Geometric Median
by: Haghifam, Mahdi, et al.
Published: (2024)
by: Haghifam, Mahdi, et al.
Published: (2024)
Calibrated Regression Against An Adversary Without Regret
by: Deshpande, Shachi, et al.
Published: (2023)
by: Deshpande, Shachi, et al.
Published: (2023)
The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)
by: Haghifam, Mahdi, et al.
Published: (2025)
Lower Bounds for Public-Private Learning under Distribution Shift
by: Setlur, Amrith, et al.
Published: (2025)
by: Setlur, Amrith, et al.
Published: (2025)
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
by: Chaudhari, Harsh, et al.
Published: (2023)
by: Chaudhari, Harsh, et al.
Published: (2023)
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
by: Serramazza, Davide Italo, et al.
Published: (2024)
by: Serramazza, Davide Italo, et al.
Published: (2024)
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes
by: Peter, Naty, et al.
Published: (2023)
by: Peter, Naty, et al.
Published: (2023)
Improved Bounds for Swap Multicalibration and Swap Omniprediction
by: Luo, Haipeng, et al.
Published: (2025)
by: Luo, Haipeng, et al.
Published: (2025)
Testable Learning with Distribution Shift
by: Klivans, Adam R., et al.
Published: (2023)
by: Klivans, Adam R., et al.
Published: (2023)
TMI! Finetuned Models Leak Private Information from their Pretraining Data
by: Abascal, John, et al.
Published: (2023)
by: Abascal, John, et al.
Published: (2023)
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
by: Lowy, Andrew, et al.
Published: (2024)
by: Lowy, Andrew, et al.
Published: (2024)
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
by: Losalka, Arpan, et al.
Published: (2024)
by: Losalka, Arpan, et al.
Published: (2024)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
by: Brown, Gavin, et al.
Published: (2021)
by: Brown, Gavin, et al.
Published: (2021)
Similar Items
-
Sample-efficient Multiclass Calibration under $\ell_{p}$ Error
by: Bairaktari, Konstantina, et al.
Published: (2025) -
Near-optimal Swap Regret Minimization for Convex Losses
by: Hu, Lunjia, et al.
Published: (2026) -
Privacy in Metalearning and Multitask Learning: Modeling and Separations
by: Aliakbarpour, Maryam, et al.
Published: (2024) -
Metalearning with Very Few Samples Per Task
by: Aliakbarpour, Maryam, et al.
Published: (2023) -
Full Swap Regret and Discretized Calibration
by: Fishelson, Maxwell, et al.
Published: (2025)