Kevin Jamieson
Kevin Jamieson
Assistant Professor, University of Washington
Verified email at cs.washington.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
1168*2017
lil’ucb: An optimal exploration algorithm for multi-armed bandits
K Jamieson, M Malloy, R Nowak, S Bubeck
Conference on Learning Theory, 423-439, 2014
2962014
Non-stochastic best arm identification and hyperparameter optimization
K Jamieson, A Talwalkar
Artificial Intelligence and Statistics, 240-248, 2016
2652016
Active ranking using pairwise comparisons
KG Jamieson, RD Nowak
arXiv preprint arXiv:1109.3701, 2011
2142011
Query complexity of derivative-free optimization
KG Jamieson, B Recht, R Nowak
Advances in Neural Information Processing Systems, 2672-2680, 2012
1302012
Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting
K Jamieson, R Nowak
2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014
1142014
Efficient hyperparameter optimization and infinitely many armed bandits
L Li, KG Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
CoRR, abs/1603.06560 16, 2016
1072016
Massively parallel hyperparameter tuning
L Li, K Jamieson, A Rostamizadeh, E Gonina, M Hardt, B Recht, ...
832018
Hyperband: Bandit-based configuration evaluation for hyperparameter optimization
L Li, KG Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
ICLR (Poster), 2017
792017
Low-dimensional embedding using adaptively selected ordinal data
KG Jamieson, RD Nowak
2011 49th Annual Allerton Conference on Communication, Control, and …, 2011
682011
Non-asymptotic gap-dependent regret bounds for tabular MDPs
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems 32, 1153-1162, 2019
652019
A system for massively parallel hyperparameter tuning
L Li, K Jamieson, A Rostamizadeh, E Gonina, M Hardt, B Recht, ...
arXiv preprint arXiv:1810.05934, 2018
552018
Finite sample prediction and recovery bounds for ordinal embedding
L Jain, KG Jamieson, R Nowak
Advances in neural information processing systems 29, 2711-2719, 2016
532016
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
M Laskey, C Chuck, J Lee, J Mahler, S Krishnan, K Jamieson, A Dragan, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 358-365, 2017
502017
Top arm identification in multi-armed bandits with batch arm pulls
KS Jun, K Jamieson, R Nowak, X Zhu
Artificial Intelligence and Statistics, 139-148, 2016
502016
Sparse dueling bandits
K Jamieson, S Katariya, A Deshpande, R Nowak
Artificial Intelligence and Statistics, 416-424, 2015
502015
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.
KG Jamieson, L Jain, C Fernandez, NJ Glattard, RD Nowak
NIPS, 2656-2664, 2015
502015
A framework for Multi-A (rmed)/B (andit) Testing with Online FDR Control
F Yang, A Ramdas, K Jamieson, MJ Wainwright
arXiv preprint arXiv:1706.05378, 2017
432017
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1794-1834, 2017
402017
Sequential experimental design for transductive linear bandits
T Fiez, L Jain, KG Jamieson, L Ratliff
Advances in neural information processing systems 32, 10667-10677, 2019
302019
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