Kevin Jamieson
Kevin Jamieson
Assistant Professor, University of Washington
Verified email at - Homepage
Cited by
Cited by
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
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
Active ranking using pairwise comparisons
KG Jamieson, R Nowak
Advances in Neural Information Processing Systems, 2240-2248, 2011
Non-stochastic best arm identification and hyperparameter optimization
K Jamieson, A Talwalkar
Artificial Intelligence and Statistics, 240-248, 2016
Query complexity of derivative-free optimization
KG Jamieson, B Recht, R Nowak
Advances in Neural Information Processing Systems, 2672-2680, 2012
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
Low-dimensional embedding using adaptively selected ordinal data
KG Jamieson, RD Nowak
2011 49th Annual Allerton Conference on Communication, Control, and …, 2011
Massively parallel hyperparameter tuning
L Li, K Jamieson, A Rostamizadeh, E Gonina, M Hardt, B Recht, ...
arXiv preprint arXiv:1810.05934, 2018
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
Finite sample prediction and recovery bounds for ordinal embedding
L Jain, KG Jamieson, R Nowak
Advances in neural information processing systems, 2711-2719, 2016
Sparse dueling bandits
K Jamieson, S Katariya, A Deshpande, R Nowak
Artificial Intelligence and Statistics, 416-424, 2015
Next: A system for real-world development, evaluation, and application of active learning
KG Jamieson, L Jain, C Fernandez, NJ Glattard, R Nowak
Advances in neural information processing systems, 2656-2664, 2015
A framework for Multi-A (rmed)/B (andit) Testing with Online FDR Control
F Yang, A Ramdas, KG Jamieson, MJ Wainwright
Advances in Neural Information Processing Systems, 5957-5966, 2017
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
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
arXiv preprint arXiv:1702.05186, 2017
Non-asymptotic gap-dependent regret bounds for tabular mdps
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems, 1153-1162, 2019
On finding the largest mean among many
K Jamieson, M Malloy, R Nowak, S Bubeck
arXiv preprint arXiv:1306.3917, 2013
The power of adaptivity in identifying statistical alternatives
KG Jamieson, D Haas, B Recht
Advances in Neural Information Processing Systems, 775-783, 2016
Training a support vector machine to classify signals in a real environment given clean training data
K Jamieson, MR Gupta, E Swanson, HS Anderson
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Sequential Bayesian estimation of the probability of detection for tracking
KG Jamieson, MR Gupta, DW Krout
2009 12th International Conference on Information Fusion, 641-648, 2009
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