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1
On the Saturation Effect of Kernel Ridge Regression
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On the Saturation Effect of Kernel Ridge Regression

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.09362

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2
A Quantitative Functional Central Limit Theorem for Shallow Neural Networks
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A Quantitative Functional Central Limit Theorem for Shallow Neural Networks

arXiv.org, 2023-07

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.16932

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3
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation
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Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation

arXiv.org, 2023-01

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2301.03011

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4
Nonparametric regression on random geometric graphs sampled from submanifolds
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Nonparametric regression on random geometric graphs sampled from submanifolds

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20909

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5
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
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Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.14285

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6
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
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Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2204.09664

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7
MARS via LASSO
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MARS via LASSO

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2111.11694

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8
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
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Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization

arXiv.org, 2024-03

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2302.04552

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9
Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks
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Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.10556

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10
A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime
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A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.15718

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11
On the Performance of Empirical Risk Minimization with Smoothed Data
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On the Performance of Empirical Risk Minimization with Smoothed Data

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.14987

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12
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
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Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2401.11665

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13
Federated X-Armed Bandit
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Federated X-Armed Bandit

arXiv.org, 2022-05

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2205.15268

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14
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
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Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.05928

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15
Convergence of Alternating Gradient Descent for Matrix Factorization
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Convergence of Alternating Gradient Descent for Matrix Factorization

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.06927

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16
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
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Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.01502

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17
Spectrally Transformed Kernel Regression
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Article
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Spectrally Transformed Kernel Regression

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.00645

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18
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
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Article
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Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes

arXiv.org, 2024-01

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2401.04286

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19
p-Laplacian Transformer
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p-Laplacian Transformer

arXiv.org, 2023-11

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.03235

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20
Convex and Non-convex Optimization Under Generalized Smoothness
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Convex and Non-convex Optimization Under Generalized Smoothness

arXiv.org, 2023-11

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.01264

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