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Learning pure quantum states (almost) without regret
26 June 2024
Josep Lumbreras
Mikhail Terekhov
Marco Tomamichel
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Papers citing
"Learning pure quantum states (almost) without regret"
10 / 10 papers shown
Title
Sample-optimal learning of quantum states using gentle measurements
Cristina Butucea
Jan Johannes
Henning Stein
7
1
0
30 May 2025
Quantum state-agnostic work extraction (almost) without dissipation
Josep Lumbreras
Ruo Cheng Huang
Yanglin Hu
Mile Gu
Marco Tomamichel
39
1
0
14 May 2025
Linear bandits with polylogarithmic minimax regret
Josep Lumbreras
Marco Tomamichel
36
5
0
19 Feb 2024
Quantum contextual bandits and recommender systems for quantum data
Shrigyan Brahmachari
Josep Lumbreras
Marco Tomamichel
58
4
0
31 Jan 2023
When Does Adaptivity Help for Quantum State Learning?
Sitan Chen
Brice Huang
Jungshian Li
Allen Liu
Mark Sellke
44
25
0
10 Jun 2022
Lecture Notes: Selected topics on robust statistical learning theory
M. Lerasle
OOD
63
32
0
28 Aug 2019
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Han Shao
Xiaotian Yu
Irwin King
Michael R. Lyu
56
47
0
25 Oct 2018
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
195
1,004
0
15 Sep 2012
Bandits with heavy tail
Sébastien Bubeck
Nicolò Cesa-Bianchi
Gábor Lugosi
184
294
0
08 Sep 2012
Linearly Parameterized Bandits
Paat Rusmevichientong
J. Tsitsiklis
391
562
0
18 Dec 2008
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