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Giulia DeSalvo
Giulia DeSalvo
New York University
Verified email at GOOGLE.COM - 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
2035*2017
Hyperband: Bandit-based Configuration Evaluation for Hyperparameter Optimization
AT Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh
ICLR, 2017
1746*2017
Learning with rejection
C Cortes, G DeSalvo, M Mohri
International Conference on Algorithmic Learning Theory, 67-82, 2016
1812016
Efficient hyperparameter optimization and infinitely many armed bandits
L Li, KG Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
CoRR, abs/1603.06560 16, 2016
1292016
Boosting with abstention
C Cortes, G DeSalvo, M Mohri
Advances in Neural Information Processing Systems 29, 2016
722016
Online learning with abstention
C Cortes, G DeSalvo, C Gentile, M Mohri, S Yang
International conference on machine learning, 1059-1067, 2018
302018
Batch active learning at scale
G Citovsky, G DeSalvo, C Gentile, L Karydas, A Rajagopalan, ...
Advances in Neural Information Processing Systems 34, 11933-11944, 2021
292021
Region-based active learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
262019
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
262014
Active learning with disagreement graphs
C Cortes, G DeSalvo, M Mohri, N Zhang, C Gentile
International Conference on Machine Learning, 1379-1387, 2019
212019
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
162019
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 2017
162017
Learning with deep cascades
G DeSalvo, M Mohri, U Syed
International Conference on Algorithmic Learning Theory, 254-269, 2015
152015
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. arXiv 2018
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
arXiv preprint arXiv:1603.06560, 2016
122016
Adaptive region-based active learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
International Conference on Machine Learning, 2144-2153, 2020
92020
Random composite forests
G DeSalvo, M Mohri
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
82016
Efficient hyperparameter optimization and infinitely many armed bandits
A Rostamizadeh, A Talwalkar, G DeSalvo, K Jamieson, L Li
72017
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
62020
Understanding the effects of batching in online active learning
K Amin, C Cortes, G DeSalvo, A Rostamizadeh
International Conference on Artificial Intelligence and Statistics, 3482-3492, 2020
62020
Multi-armed bandits with non-stationary rewards
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yand
CoRR, abs/1710.10657 1, 2017
52017
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