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Online Nonparametric Regression

Online Nonparametric Regression

11 February 2014
Alexander Rakhlin
Karthik Sridharan
ArXivPDFHTML

Papers citing "Online Nonparametric Regression"

15 / 15 papers shown
Title
Online Learning with Unknown Constraints
Online Learning with Unknown Constraints
Karthik Sridharan
Seung Won Wilson Yoo
33
2
0
06 Mar 2024
A Tutorial on the Non-Asymptotic Theory of System Identification
A Tutorial on the Non-Asymptotic Theory of System Identification
Ingvar M. Ziemann
Anastasios Tsiamis
Bruce D. Lee
Yassir Jedra
Nikolai Matni
George J. Pappas
30
25
0
07 Sep 2023
Optimal Prediction Using Expert Advice and Randomized Littlestone
  Dimension
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
Yuval Filmus
Steve Hanneke
Idan Mehalel
Shay Moran
28
11
0
27 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
34
7
0
31 Jan 2023
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
24
16
0
18 Jun 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the
  Bernstein Condition
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
Varun Kanade
Patrick Rebeschini
Tomas Vaskevicius
30
10
0
23 Feb 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex
  Losses and Beyond
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby
Yu-Xiang Wang
37
25
0
21 Jan 2022
Dynamic Mixture of Experts Models for Online Prediction
Dynamic Mixture of Experts Models for Online Prediction
Parfait Munezero
M. Villani
Robert Kohn
21
1
0
23 Sep 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy
Krishnakumar Balasubramanian
Murat A. Erdogdu
14
18
0
06 Sep 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby
Xuandong Zhao
Yu-Xiang Wang
19
11
0
23 Jan 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby
Yu-Xiang Wang
28
12
0
30 Sep 2020
Learning to Bid Optimally and Efficiently in Adversarial First-price
  Auctions
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
Yanjun Han
Zhengyuan Zhou
Aaron Flores
E. Ordentlich
Tsachy Weissman
13
40
0
09 Jul 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
47
107
0
28 Mar 2020
Locally-Adaptive Nonparametric Online Learning
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
15
5
0
05 Feb 2020
Learning without Concentration
Learning without Concentration
S. Mendelson
87
333
0
01 Jan 2014
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