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minimax optimal rate

24 papers

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Co-occurring keywords

minimax optimal (90) kernel ridge regression (111) nonparametric regression (111) reproducing kernel hilbert space (334) sample complexity (1169) convex optimization (1321) minimax-optimal rate (4) instrumental variable (75) bayesian neural network (201) minimax rate (87)

Papers

Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025
Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024
Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
Non-parametric classification via expand-and-sparsify representation NIPS 2024
The Exact Sample Complexity Gain from Invariances for Kernel Regression NIPS 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023
Asymptotic Properties for Bayesian Neural Network in Besov Space NIPS 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism NIPS 2021
Rate-Optimal Subspace Estimation on Random Graphs NIPS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021
Kernel Instrumental Variable Regression NIPS 2019
Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019
DBSCAN++: Towards fast and scalable density clustering ICML 2019
Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015
Optimal rates for k-NN density and mode estimation NIPS 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014