:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abdalla, Pedro, Chen, Junren
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Statistics Theory
Online Access:	https://arxiv.org/abs/2601.07074
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
by: de Juan, Xabier, et al.
Published: (2025)

Robust Estimation under the Wasserstein Distance
by: Nietert, Sloan, et al.
Published: (2023)

Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)

Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
by: De, Sourav, et al.
Published: (2025)

Robust Sparse Mean Estimation via Sum of Squares
by: Diakonikolas, Ilias, et al.
Published: (2022)

Variance-Aware Estimation of Kernel Mean Embedding
by: Wolfer, Geoffrey, et al.
Published: (2022)

Mean Testing under Truncation beyond Gaussian
by: Wang, Yuhao, et al.
Published: (2026)

Statistical Mean Estimation with Coded Relayed Observations
by: Ling, Yan Hao, et al.
Published: (2025)

High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)

Covariance Estimation under Missing Observations and $L_4-L_2$ Moment Equivalence
by: Abdalla, Pedro
Published: (2023)

An Upper Confidence Bound Approach to Estimating the Maximum Mean
by: Kun, Zhang, et al.
Published: (2024)

Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
by: Zhang, Yuqian, et al.
Published: (2021)

Optimal Survey Design for Private Mean Estimation
by: Chen, Yu-Wei, et al.
Published: (2025)

A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
by: Pensia, Ankit
Published: (2024)

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

Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
by: Karagulyan, Vahe, et al.
Published: (2024)

Conformal Robust Set Estimation
by: Cholaquidis, Alejandro, et al.
Published: (2026)

Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)

Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
by: Lau, Ivan, et al.
Published: (2026)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)

Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024)

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

Pseudo-Observations and Super Learner for the Estimation of the Restricted Mean Survival Time
by: Cwiling, Ariane, et al.
Published: (2024)

Robust Estimation Under Heterogeneous Corruption Rates
by: Chaudhuri, Syomantak, et al.
Published: (2025)

Entangled Mean Estimation in High-Dimensions
by: Diakonikolas, Ilias, et al.
Published: (2025)

Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders
by: Abdalla, Pedro
Published: (2021)

Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression
by: Ni, Yijin, et al.
Published: (2026)

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024)

Debiased Regression for Root-N-Consistent Conditional Mean Estimation
by: Kato, Masahiro
Published: (2024)

Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)

Estimation of discrete distributions with high probability under $χ^2$-divergence
by: Louati, Sirine
Published: (2025)

Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
by: Wang, Yuyao, et al.
Published: (2025)

Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
by: Pittas, Thanasis, et al.
Published: (2024)

Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)

Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)

Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
by: Yuan, Deheng, et al.
Published: (2024)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)

Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026)