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Pushing the Efficiency-Regret Pareto Frontier for Online Learning of
  Portfolios and Quantum States

Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States

6 February 2022
Julian Zimmert
Naman Agarwal
Satyen Kale
ArXiv (abs)PDFHTML

Papers citing "Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States"

13 / 13 papers shown
Title
Gambling-Based Confidence Sequences for Bounded Random Vectors
Gambling-Based Confidence Sequences for Bounded Random Vectors
J. Jon Ryu
G. Wornell
84
3
0
06 Feb 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual
  Averaging
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging
C. Tsai
Hao-Chung Cheng
Yen-Huan Li
62
1
0
05 Nov 2023
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
Haolin Liu
Chen-Yu Wei
Julian Zimmert
78
6
0
17 Oct 2023
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual
  Bandits
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
Haolin Liu
Chen-Yu Wei
Julian Zimmert
74
9
0
02 Sep 2023
Projection-Free Online Convex Optimization via Efficient Newton
  Iterations
Projection-Free Online Convex Optimization via Efficient Newton Iterations
Khashayar Gatmiry
Zakaria Mhammedi
98
4
0
19 Jun 2023
Data-Dependent Bounds for Online Portfolio Selection Without
  Lipschitzness and Smoothness
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
C. Tsai
Ying-Ting Lin
Yen-Huan Li
58
5
0
23 May 2023
Smoothed Analysis of Sequential Probability Assignment
Smoothed Analysis of Sequential Probability Assignment
Alankrita Bhatt
Nika Haghtalab
Abhishek Shetty
80
10
0
08 Mar 2023
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum
  State Tomography
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
C. Tsai
Hao-Chung Cheng
Yen-Huan Li
56
4
0
23 Nov 2022
Online Self-Concordant and Relatively Smooth Minimization, With
  Applications to Online Portfolio Selection and Learning Quantum States
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
C. Tsai
Hao-Chung Cheng
Yen-Huan Li
78
9
0
03 Oct 2022
Adaptive Online Learning of Quantum States
Adaptive Online Learning of Quantum States
Xinyi Chen
Elad Hazan
Tongyang Li
Zhou Lu
Xinzhao Wang
Rui Yang
76
14
0
01 Jun 2022
Optimal Comparator Adaptive Online Learning with Switching Cost
Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
70
4
0
13 May 2022
Damped Online Newton Step for Portfolio Selection
Damped Online Newton Step for Portfolio Selection
Zakaria Mhammedi
Alexander Rakhlin
60
15
0
15 Feb 2022
Maximum-Likelihood Quantum State Tomography by Soft-Bayes
Maximum-Likelihood Quantum State Tomography by Soft-Bayes
Chien-Ming Lin
Yu-Ming Hsu
Yen-Huan Li
68
1
0
31 Dec 2020
1