Saved in:
| Main Authors: | Lau, Lap Chi, Ramachandran, Akshay |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.13751 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
by: Lerman, Gilad, et al.
Published: (2024)
by: Lerman, Gilad, et al.
Published: (2024)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)
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)
by: Lau, Ivan, et al.
Published: (2026)
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025)
by: Balsubramani, Akshay
Published: (2025)
Optimal Lower Bounds for Online Multicalibration
by: Collina, Natalie, et al.
Published: (2026)
by: Collina, Natalie, et al.
Published: (2026)
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
by: Tamano, Shu, et al.
Published: (2026)
by: Tamano, Shu, et al.
Published: (2026)
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
by: Réveillard, William, et al.
Published: (2025)
by: Réveillard, William, et al.
Published: (2025)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)
by: Bateni, Borna, et al.
Published: (2025)
$L^1$ Estimation: On the Optimality of Linear Estimators
by: Barnes, Leighton P., et al.
Published: (2023)
by: Barnes, Leighton P., et al.
Published: (2023)
An Upper Confidence Bound Approach to Estimating the Maximum Mean
by: Kun, Zhang, et al.
Published: (2024)
by: Kun, Zhang, et al.
Published: (2024)
Convergence of Statistical Estimators via Mutual Information Bounds
by: Khribch, El Mahdi, et al.
Published: (2024)
by: Khribch, El Mahdi, et al.
Published: (2024)
Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)
by: Nietert, Sloan, et al.
Published: (2025)
Tight Bounds for Schrödinger Potential Estimation in Unpaired Data Translation
by: Puchkin, Nikita, et al.
Published: (2025)
by: Puchkin, Nikita, et al.
Published: (2025)
Bayesian Cramér-Rao Bound Estimation with Score-Based Models
by: Crafts, Evan Scope, et al.
Published: (2023)
by: Crafts, Evan Scope, et al.
Published: (2023)
Plugin Estimation of Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2021)
by: Manole, Tudor, et al.
Published: (2021)
Optimal Convergence Analysis of DDPM for General Distributions
by: Jiao, Yuchen, et al.
Published: (2025)
by: Jiao, Yuchen, et al.
Published: (2025)
Optimal Ridge Regularization for Out-of-Distribution Prediction
by: Patil, Pratik, et al.
Published: (2024)
by: Patil, Pratik, et al.
Published: (2024)
Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds
by: Arsenyan, Vahan, et al.
Published: (2025)
by: Arsenyan, Vahan, et al.
Published: (2025)
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
by: Hanchi, Ayoub El, et al.
Published: (2023)
by: Hanchi, Ayoub El, et al.
Published: (2023)
Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
by: de Juan, Xabier, et al.
Published: (2025)
by: de Juan, Xabier, et al.
Published: (2025)
Optimal Confidence Band for Kernel Gradient Flow Estimator
by: Cheng, Yuqian, et al.
Published: (2026)
by: Cheng, Yuqian, et al.
Published: (2026)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
Principled Out-of-Distribution Generalization via Simplicity
by: Ge, Jiawei, et al.
Published: (2025)
by: Ge, Jiawei, et al.
Published: (2025)
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
by: Zhang, Kaihong, et al.
Published: (2024)
by: Zhang, Kaihong, et al.
Published: (2024)
Instance-Optimal Estimation with Multiple LLM Judges on a Budget
by: Lee, Junghyun, et al.
Published: (2026)
by: Lee, Junghyun, et al.
Published: (2026)
Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
by: Zhou, Tian-Yi, et al.
Published: (2024)
by: Zhou, Tian-Yi, et al.
Published: (2024)
Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
by: Yuan, Deheng, et al.
Published: (2024)
by: Yuan, Deheng, et al.
Published: (2024)
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
by: Vardanyan, Elen, et al.
Published: (2023)
by: Vardanyan, Elen, et al.
Published: (2023)
Intrinsic Bayesian Cramér-Rao Bound with an Application to Covariance Matrix Estimation
by: Bouchard, Florent, et al.
Published: (2023)
by: Bouchard, Florent, et al.
Published: (2023)
Distribution free M-estimation
by: Areces, Felipe, et al.
Published: (2025)
by: Areces, Felipe, et al.
Published: (2025)
Distributed Estimation and Inference for Semi-parametric Binary Response Models
by: Chen, Xi, et al.
Published: (2022)
by: Chen, Xi, et al.
Published: (2022)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)
by: Kumar, Shivam, et al.
Published: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks
by: Liu, Xingchi, et al.
Published: (2024)
by: Liu, Xingchi, et al.
Published: (2024)
Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
Similar Items
-
Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
by: Lerman, Gilad, et al.
Published: (2024) -
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) -
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025) -
Optimal Lower Bounds for Online Multicalibration
by: Collina, Natalie, et al.
Published: (2026)