Sotabase

Career

· Associate Professor, University of Washington2017–
· Postdoctoral Researcher, University of California, Berkeley2015–2017
· Ph.D. in Electrical Engineering, University of Wisconsin - Madison2010–2015
· M.S. in Electrical Engineering, Columbia University2009–2010
· B.S. in Electrical Engineering, University of Washington2005–2009

Publications (91)

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Journal of machine learning research · 2016
2,628
cited
Non-stochastic Best Arm Identification and Hyperparameter Optimization
International Conference on Artificial Intelligence and Statistics · 2015
644
cited
A System for Massively Parallel Hyperparameter Tuning
Conference on Machine Learning and Systems · 2018
465
cited
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Annual Conference Computational Learning Theory · 2013
437
cited
Active Ranking using Pairwise Comparisons
Neural Information Processing Systems · 2011
273
cited
Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting
Annual Conference on Information Sciences and Systems · 2014
219
cited
Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization
International Conference on Learning Representations · 2016
191
cited
Massively Parallel Hyperparameter Tuning
arXiv.org · 2018
186
cited
Query Complexity of Derivative-Free Optimization
Neural Information Processing Systems · 2012
167
cited
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Neural Information Processing Systems · 2019
162
cited
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits
arXiv.org · 2016
147
cited
Sequential Experimental Design for Transductive Linear Bandits
Neural Information Processing Systems · 2019
115
cited
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
International Conference on Artificial Intelligence and Statistics · 2016
89
cited
Low-dimensional embedding using adaptively selected ordinal data
Allerton Conference on Communication, Control, and Computing · 2011
85
cited
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
IEEE International Conference on Robotics and Automation · 2016
78
cited
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Neural Information Processing Systems · 2016
76
cited
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Neural Information Processing Systems · 2020
70
cited
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Neural Information Processing Systems · 2015
70
cited
Sparse Dueling Bandits
International Conference on Artificial Intelligence and Statistics · 2015
67
cited
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
Annual Conference Computational Learning Theory · 2017
67
cited
Sotabase
Kevin Jamieson | Researcher Profile | Sotabase | Sotabase