Guardado en:
| Autores principales: | Chaudhuri, Syomantak, Li, Jerry, Courtade, Thomas A. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2508.15051 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Private Estimation when Data and Privacy Demands are Correlated
por: Chaudhuri, Syomantak, et al.
Publicado: (2024)
por: Chaudhuri, Syomantak, et al.
Publicado: (2024)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
por: Li, Jingyang, et al.
Publicado: (2024)
por: Li, Jingyang, et al.
Publicado: (2024)
Managing Correlations in Data and Privacy Demand
por: Chaudhuri, Syomantak, et al.
Publicado: (2025)
por: Chaudhuri, Syomantak, et al.
Publicado: (2025)
$L^1$ Estimation: On the Optimality of Linear Estimators
por: Barnes, Leighton P., et al.
Publicado: (2023)
por: Barnes, Leighton P., et al.
Publicado: (2023)
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
por: Shi, Laixi, et al.
Publicado: (2023)
por: Shi, Laixi, et al.
Publicado: (2023)
On Robust Hypothesis Testing with respect to the Hellinger Distance
por: Modak, Eeshan, et al.
Publicado: (2025)
por: Modak, Eeshan, et al.
Publicado: (2025)
On the Sample Complexity of Robust Binary Hypothesis Testing
por: Vallinayagam, Shankar, et al.
Publicado: (2026)
por: Vallinayagam, Shankar, et al.
Publicado: (2026)
Statistical Mean Estimation with Coded Relayed Observations
por: Ling, Yan Hao, et al.
Publicado: (2025)
por: Ling, Yan Hao, et al.
Publicado: (2025)
Unbiased Estimating Equation on Inverse Divergence and Its Conditions
por: Kobayashi, Masahiro, et al.
Publicado: (2024)
por: Kobayashi, Masahiro, et al.
Publicado: (2024)
Estimation of discrete distributions in relative entropy, and the deviations of the missing mass
por: Mourtada, Jaouad
Publicado: (2025)
por: Mourtada, Jaouad
Publicado: (2025)
Instance-Optimal Estimation with Multiple LLM Judges on a Budget
por: Lee, Junghyun, et al.
Publicado: (2026)
por: Lee, Junghyun, et al.
Publicado: (2026)
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
por: Nandy, Sagnik, et al.
Publicado: (2023)
por: Nandy, Sagnik, et al.
Publicado: (2023)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
por: Lau, Ivan, et al.
Publicado: (2025)
por: Lau, Ivan, et al.
Publicado: (2025)
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
por: Yuan, Deheng, et al.
Publicado: (2025)
por: Yuan, Deheng, et al.
Publicado: (2025)
A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
por: Kobayashi, Masahiro
Publicado: (2025)
por: Kobayashi, Masahiro
Publicado: (2025)
Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination
por: Yoshida, Tsukasa, et al.
Publicado: (2025)
por: Yoshida, Tsukasa, et al.
Publicado: (2025)
Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
por: Lau, Ivan, et al.
Publicado: (2026)
por: Lau, Ivan, et al.
Publicado: (2026)
Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
por: Yuan, Deheng, et al.
Publicado: (2024)
por: Yuan, Deheng, et al.
Publicado: (2024)
On the Nonasymptotic Scaling Guarantee of Hyperparameter Estimation in Inhomogeneous, Weakly-Dependent Complex Network Dynamical Systems
por: Yu, Yi, et al.
Publicado: (2026)
por: Yu, Yi, et al.
Publicado: (2026)
Estimating stationary mass, frequency by frequency
por: Nakul, Milind, et al.
Publicado: (2025)
por: Nakul, Milind, et al.
Publicado: (2025)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
por: Cai, T. Tony, et al.
Publicado: (2024)
por: Cai, T. Tony, et al.
Publicado: (2024)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
por: Kovačević, Filip, et al.
Publicado: (2025)
por: Kovačević, Filip, et al.
Publicado: (2025)
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2023)
por: Zhang, Yihan, et al.
Publicado: (2023)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
por: Pananjady, Ashwin, et al.
Publicado: (2024)
por: Pananjady, Ashwin, et al.
Publicado: (2024)
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
por: Tohme, Tony, et al.
Publicado: (2023)
por: Tohme, Tony, et al.
Publicado: (2023)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2026)
por: Zhang, Yihan, et al.
Publicado: (2026)
Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability
por: Zhao, Qingyue, et al.
Publicado: (2026)
por: Zhao, Qingyue, et al.
Publicado: (2026)
Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
por: Li, Gen, et al.
Publicado: (2025)
por: Li, Gen, et al.
Publicado: (2025)
Minimax Optimality of the Probability Flow ODE for Diffusion Models
por: Cai, Changxiao, et al.
Publicado: (2025)
por: Cai, Changxiao, et al.
Publicado: (2025)
Towards a mathematical theory for consistency training in diffusion models
por: Li, Gen, et al.
Publicado: (2024)
por: Li, Gen, et al.
Publicado: (2024)
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
por: Li, Gen, et al.
Publicado: (2023)
por: Li, Gen, et al.
Publicado: (2023)
An Algorithm for Streaming Differentially Private Data
por: Kumar, Girish, et al.
Publicado: (2024)
por: Kumar, Girish, et al.
Publicado: (2024)
Distribution Learnability and Robustness
por: Ben-David, Shai, et al.
Publicado: (2024)
por: Ben-David, Shai, et al.
Publicado: (2024)
Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
por: Chen, Fan, et al.
Publicado: (2025)
por: Chen, Fan, et al.
Publicado: (2025)
Analysis of Diffusion Models for Manifold Data
por: George, Anand Jerry, et al.
Publicado: (2025)
por: George, Anand Jerry, et al.
Publicado: (2025)
Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
por: Kim, Gilhan
Publicado: (2026)
por: Kim, Gilhan
Publicado: (2026)
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
por: Yan, Fanqi, et al.
Publicado: (2026)
por: Yan, Fanqi, et al.
Publicado: (2026)
Learning Transfer Operators by Kernel Density Estimation
por: Surasinghe, Sudam, et al.
Publicado: (2022)
por: Surasinghe, Sudam, et al.
Publicado: (2022)
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
por: Li, Yufan, et al.
Publicado: (2023)
por: Li, Yufan, et al.
Publicado: (2023)
Online Clustering of Data Sequences with Bandit Information
por: Chandran, G Dhinesh, et al.
Publicado: (2025)
por: Chandran, G Dhinesh, et al.
Publicado: (2025)
Ejemplares similares
-
Private Estimation when Data and Privacy Demands are Correlated
por: Chaudhuri, Syomantak, et al.
Publicado: (2024) -
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
por: Li, Jingyang, et al.
Publicado: (2024) -
Managing Correlations in Data and Privacy Demand
por: Chaudhuri, Syomantak, et al.
Publicado: (2025) -
$L^1$ Estimation: On the Optimality of Linear Estimators
por: Barnes, Leighton P., et al.
Publicado: (2023) -
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
por: Shi, Laixi, et al.
Publicado: (2023)