conftrace_

minimax rate

87 papers

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Co-occurring keywords

sample complexity (1169) convergence rate (607) nonparametric estimation (98) density estimation (398) learning theory (519) statistical learning (351) statistical estimation (108) nonparametric regression (111) information theory (491) parameter estimation (274)

Papers

Relative Information Gain and Gaussian Process Regression ALT 2026
Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NIPS 2024
Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024
Two fundamental limits for uncertainty quantification in predictive inference COLT 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024
Nonparametric Inference under B-bits Quantization JMLR 2024
Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework NIPS 2024
Apple Tasting: Combinatorial Dimensions and Minimax Rates COLT 2024
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023
Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023
On the Variance, Admissibility, and Stability of Empirical Risk Minimization NIPS 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023
Practical Contextual Bandits with Feedback Graphs NIPS 2023
Near-optimal learning with average Hölder smoothness NIPS 2023
Smoothed Analysis of Sequential Probability Assignment NIPS 2023
Nonparametric Indirect Active Learning AISTATS 2023
Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022
A Simple yet Universal Strategy for Online Convex Optimization ICML 2022