Giulia DeSalvo
Giulia DeSalvo
Verified email at cims.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Hyperband: A novel bandit-based approach to hyperparameter optimization
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
The Journal of Machine Learning Research 18 (1), 6765-6816, 2017
473*2017
Hyperband: Bandit-based Configuration Evaluation for Hyperparameter Optimization
AT Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh
ICLR, 2017
377*2017
Efficient hyperparameter optimization and infinitely many armed bandits
L Li, KG Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
CoRR, abs/1603.06560 16, 2016
872016
Learning with rejection
C Cortes, G DeSalvo, M Mohri
International Conference on Algorithmic Learning Theory, 67-82, 2016
572016
Boosting with abstention
C Cortes, G DeSalvo, M Mohri
Advances in Neural Information Processing Systems, 1660-1668, 2016
192016
Precise measurement of laser power using an optomechanical system
K Agatsuma, D Friedrich, S Ballmer, G DeSalvo, S Sakata, E Nishida, ...
Optics express 22 (2), 2013-2030, 2014
152014
Online learning with abstention
C Cortes, G DeSalvo, C Gentile, M Mohri, S Yang
arXiv preprint arXiv:1703.03478, 2017
102017
Hyperband: A novel bandit-based approach to hyperparameter optimization. arXiv 2016
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
arXiv preprint arXiv:1603.06560, 2016
72016
WWW 2018
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
62018
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 2017
62017
Learning with deep cascades
G DeSalvo, M Mohri, U Syed
International Conference on Algorithmic Learning Theory, 254-269, 2015
62015
Region-based active learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
52019
Random composite forests
G DeSalvo, M Mohri
Thirtieth AAAI Conference on Artificial Intelligence, 2016
52016
Multi-armed bandits with non-stationary rewards
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yand
arXiv preprint arXiv 1710, 2017
42017
Active Learning with Disagreement Graphs
C Cortes, G DeSalvo, M Mohri, N Zhang, C Gentile
International Conference on Machine Learning, 1379-1387, 2019
22019
NIPS 2016
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar, CMCB Trees
2
High accuracy measurement of the quantum efficiency using radiation pressure
K Agatsuma, T Mori, S Ballmer, G DeSalvo, S Sakata, E Nishida, ...
Journal of Physics: Conference Series 363 (1), 012002, 2012
12012
Adaptive Region-Based Active Learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
arXiv preprint arXiv:2002.07348, 2020
2020
Online Learning with Sleeping Experts and Feedback Graphs
C Cortes, G DeSalvo, C Gentile, M Mohri, S Yang
International Conference on Machine Learning, 1370-1378, 2019
2019
Online Learning with Sleeping Experts and Feedback Graphs
C Gentile, C Cortes, G DeSalvo, M Mohri, S Yang
2019
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