Saved in:
| Main Authors: | Bairaktari, Konstantina, Nguyen, Huy L. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.23000 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Metalearning with Very Few Samples Per Task
by: Aliakbarpour, Maryam, et al.
Published: (2023)
by: Aliakbarpour, Maryam, et al.
Published: (2023)
Sharper Bounds for $\ell_p$ Sensitivity Sampling
by: Woodruff, David P., et al.
Published: (2023)
by: Woodruff, David P., et al.
Published: (2023)
Ridge Leverage Score Sampling for $\ell_p$ Subspace Approximation
by: Woodruff, David P., et al.
Published: (2024)
by: Woodruff, David P., et al.
Published: (2024)
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
by: Munteanu, Alexander, et al.
Published: (2024)
by: Munteanu, Alexander, et al.
Published: (2024)
Calibration Error for Decision Making
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Coresets for Multiple $\ell_p$ Regression
by: Woodruff, David P., et al.
Published: (2024)
by: Woodruff, David P., 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)
Turnstile $\ell_p$ leverage score sampling with applications
by: Munteanu, Alexander, et al.
Published: (2024)
by: Munteanu, Alexander, et al.
Published: (2024)
Truthful Calibration Errors for Multi-Class Prediction
by: Lu, Yuxuan, et al.
Published: (2025)
by: Lu, Yuxuan, et al.
Published: (2025)
Adaptive Power Iteration Method for Differentially Private PCA
by: Nguyen, Ta Duy, et al.
Published: (2026)
by: Nguyen, Ta Duy, et al.
Published: (2026)
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
by: Ghuge, Rohan, et al.
Published: (2025)
by: Ghuge, Rohan, et al.
Published: (2025)
Online Correlation Clustering: Simultaneously Optimizing All $\ell_p$-norms
by: Davies, Sami, et al.
Published: (2025)
by: Davies, Sami, et al.
Published: (2025)
Truthfulness of Calibration Measures
by: Haghtalab, Nika, et al.
Published: (2024)
by: Haghtalab, Nika, et al.
Published: (2024)
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
by: Ahmadian, Sara, et al.
Published: (2025)
by: Ahmadian, Sara, et al.
Published: (2025)
Efficient Calibration for Decision Making
by: Gopalan, Parikshit, et al.
Published: (2025)
by: Gopalan, Parikshit, et al.
Published: (2025)
Smooth Calibration and Decision Making
by: Hartline, Jason, et al.
Published: (2025)
by: Hartline, Jason, et al.
Published: (2025)
The Importance of Being Smoothly Calibrated
by: Gopalan, Parikshit, et al.
Published: (2026)
by: Gopalan, Parikshit, et al.
Published: (2026)
Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample
by: Chauhan, Rohan, et al.
Published: (2025)
by: Chauhan, Rohan, et al.
Published: (2025)
Iterative Refinement for $\ell_p$-norm Regression
by: Adil, Deeksha, et al.
Published: (2019)
by: Adil, Deeksha, et al.
Published: (2019)
A Perfectly Truthful Calibration Measure
by: Hartline, Jason, et al.
Published: (2025)
by: Hartline, Jason, et al.
Published: (2025)
Algorithms with Calibrated Machine Learning Predictions
by: Shen, Judy Hanwen, et al.
Published: (2025)
by: Shen, Judy Hanwen, et al.
Published: (2025)
On the Distance from Calibration in Sequential Prediction
by: Qiao, Mingda, et al.
Published: (2024)
by: Qiao, Mingda, et al.
Published: (2024)
Computational and Statistical Hardness of Calibration Distance
by: Qiao, Mingda
Published: (2026)
by: Qiao, Mingda
Published: (2026)
Robust Learning with Optimal Error
by: Blanc, Guy
Published: (2026)
by: Blanc, Guy
Published: (2026)
Unbiased Insights: Optimal Streaming Algorithms for $\ell_p$ Sampling, the Forget Model, and Beyond
by: Lin, Honghao, et al.
Published: (2025)
by: Lin, Honghao, et al.
Published: (2025)
Breaking the $T^{2/3}$ Barrier for Sequential Calibration
by: Dagan, Yuval, et al.
Published: (2024)
by: Dagan, Yuval, et al.
Published: (2024)
Sample-Adaptivity Tradeoff in On-Demand Sampling
by: Haghtalab, Nika, et al.
Published: (2025)
by: Haghtalab, Nika, et al.
Published: (2025)
On efficient robust regression with subquadratic samples
by: Adil, Deeksha, et al.
Published: (2026)
by: Adil, Deeksha, et al.
Published: (2026)
An Elementary Predictor Obtaining $2\sqrt{T}+1$ Distance to Calibration
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
Fitting trees to $\ell_1$-hyperbolic distances
by: Yim, Joon-Hyeok, et al.
Published: (2024)
by: Yim, Joon-Hyeok, et al.
Published: (2024)
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
by: Li, Yi, et al.
Published: (2024)
by: Li, Yi, et al.
Published: (2024)
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Learning general Gaussian mixtures with efficient score matching
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
Testing Calibration in Nearly-Linear Time
by: Hu, Lunjia, et al.
Published: (2024)
by: Hu, Lunjia, et al.
Published: (2024)
Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
by: Fountoulakis, Kimon, et al.
Published: (2026)
by: Fountoulakis, Kimon, et al.
Published: (2026)
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions
by: Qin, Yilong, et al.
Published: (2023)
by: Qin, Yilong, et al.
Published: (2023)
Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
by: Pittas, Thanasis, et al.
Published: (2024)
by: Pittas, Thanasis, et al.
Published: (2024)
An efficient, provably optimal algorithm for the 0-1 loss linear classification problem
by: He, Xi, et al.
Published: (2023)
by: He, Xi, et al.
Published: (2023)
Thompson Sampling Itself is Differentially Private
by: Ou, Tingting, et al.
Published: (2024)
by: Ou, Tingting, et al.
Published: (2024)
Similar Items
-
Metalearning with Very Few Samples Per Task
by: Aliakbarpour, Maryam, et al.
Published: (2023) -
Sharper Bounds for $\ell_p$ Sensitivity Sampling
by: Woodruff, David P., et al.
Published: (2023) -
Ridge Leverage Score Sampling for $\ell_p$ Subspace Approximation
by: Woodruff, David P., et al.
Published: (2024) -
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
by: Munteanu, Alexander, et al.
Published: (2024) -
Calibration Error for Decision Making
by: Hu, Lunjia, et al.
Published: (2024)