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Bandit Principal Component Analysis

Bandit Principal Component Analysis

8 February 2019
W. Kotłowski
Gergely Neu
ArXivPDFHTML

Papers citing "Bandit Principal Component Analysis"

3 / 3 papers shown
Title
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
41
8
0
03 Oct 2022
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and
  Known Transition
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition
Liyu Chen
Haipeng Luo
Chen-Yu Wei
29
32
0
07 Dec 2020
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
Xiaowei Hu
A. PrashanthL.
András Gyorgy
Csaba Szepesvári
84
66
0
22 Sep 2016
1