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
1002*2017
Hyperband: Bandit-based Configuration Evaluation for Hyperparameter Optimization
AT Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh
ICLR, 2017
853*2017
Learning with rejection
C Cortes, G DeSalvo, M Mohri
International Conference on Algorithmic Learning Theory, 67-82, 2016
1172016
Efficient hyperparameter optimization and infinitely many armed bandits
L Li, KG Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
CoRR, abs/1603.06560 16, 2016
1062016
Boosting with abstention
C Cortes, G DeSalvo, M Mohri
Advances in Neural Information Processing Systems 29, 1660-1668, 2016
452016
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
232014
Online learning with abstention
C Cortes, G DeSalvo, C Gentile, M Mohri, S Yang
international conference on machine learning, 1059-1067, 2018
182018
Region-based active learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
112019
Learning with deep cascades
G DeSalvo, M Mohri, U Syed
International Conference on Algorithmic Learning Theory, 254-269, 2015
112015
Active learning with disagreement graphs
C Cortes, G DeSalvo, M Mohri, N Zhang, C Gentile
International Conference on Machine Learning, 1379-1387, 2019
102019
2018
R Li, TJ Wang, PY Lyu, Y Liu, WH Chen, MY Fan
131 10, 4103, 2018
102018
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 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
102016
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
72019
Random composite forests
G DeSalvo, M Mohri
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
52016
Multi-armed bandits with non-stationary rewards
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yand
CoRR, abs/1710.10657, 2017
42017
Adaptive Region-Based Active Learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
International Conference on Machine Learning, 2144-2153, 2020
32020
Efficient hyperparameter optimization and infinitely many armed bandits
A Rostamizadeh, A Talwalkar, G DeSalvo, K Jamieson, L Li
32017
Online Learning with Dependent Stochastic Feedback Graphs
C Cortes, G Desalvo, C Gentile, M Mohri, N Zhang
International Conference on Machine Learning, 2154-2163, 2020
12020
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
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