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Adaptive Batch Sizes for Active Learning A Probabilistic Numerics
  Approach

Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach

9 June 2023
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Xingchen Wan
Vu Nguyen
Harald Oberhauser
Michael A. Osborne
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Papers citing "Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach"

4 / 4 papers shown
Title
A Langevin sampling algorithm inspired by the Adam optimizer
A Langevin sampling algorithm inspired by the Adam optimizer
B. Leimkuhler
René Lohmann
P. Whalley
74
0
0
26 Apr 2025
Batch Multi-Fidelity Active Learning with Budget Constraints
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li
J. M. Phillips
Xin Yu
Robert M. Kirby
Shandian Zhe
75
15
0
23 Oct 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered,
  mixed-variable properties for biological sequence design
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design
Ji Won Park
Samuel Stanton
Saeed Saremi
Andrew Watkins
Henri Dwyer
Vladimir Gligorijević
Richard Bonneau
Stephen Ra
Kyunghyun Cho
16
11
0
08 Oct 2022
Generalized Kernel Thinning
Generalized Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
29
29
0
04 Oct 2021
1