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
623*2017
Hyperband: Bandit-based Configuration Evaluation for Hyperparameter Optimization
AT Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh
ICLR, 2017
503*2017
Efficient hyperparameter optimization and infinitely many armed bandits
A Rostamizadeh, A Talwalkar, G DeSalvo, K Jamieson, L Li
912017
Learning with rejection
C Cortes, G DeSalvo, M Mohri
International Conference on Algorithmic Learning Theory, 67-82, 2016
692016
Boosting with abstention
C Cortes, G DeSalvo, M Mohri
Advances in Neural Information Processing Systems, 1660-1668, 2016
252016
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
172014
Online learning with abstention
C Cortes, G DeSalvo, C Gentile, M Mohri, S Yang
international conference on machine learning, 1059-1067, 2018
112018
Region-based active learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
72019
WWW 2018
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
72018
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 2017
72017
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
Learning with deep cascades
G DeSalvo, M Mohri, U Syed
International Conference on Algorithmic Learning Theory, 254-269, 2015
62015
Random composite forests
G DeSalvo, M Mohri
Thirtieth AAAI Conference on Artificial Intelligence, 2016
52016
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
42019
Active learning with disagreement graphs
C Cortes, G DeSalvo, M Mohri, N Zhang, C Gentile
International Conference on Machine Learning, 1379-1387, 2019
42019
Multi-armed bandits with non-stationary rewards
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yand
CoRR, abs/1710.10657 1, 2017
42017
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, ...
J. Phys. Conf. Ser. 363, 012002, 2012
12012
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
2020
Adaptive Region-Based Active Learning
C Cortes, G DeSalvo, C Gentile, M Mohri, N Zhang
arXiv preprint arXiv:2002.07348, 2020
2020
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