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Jian Wu
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Bayesian Optimization with Gradients
J Wu, M Poloczek, AG Wilson, PI Frazier
Advances in Neural Information Processing Systems 30 (Oral), 5273--5284, 2017
2852017
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
J Wu, P Frazier
Advances in Neural Information Processing Systems 29, 3126--3134, 2016
2742016
Practical multi-fidelity bayesian optimization for hyperparameter tuning
J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson
Uncertainty in Artificial Intelligence, 788-798, 2020
1802020
Practical two-step lookahead Bayesian optimization
J Wu, P Frazier
Advances in neural information processing systems 32, 2019
802019
Knowledge Gradient Methods for Bayesian Optimization
J Wu
Cornell University, 2017
102017
Discretization-free knowledge gradient methods for bayesian optimization
J Wu, PI Frazier
arXiv preprint arXiv:1707.06541, 2017
72017
Graphene growth process modeling: a physical–statistical approach
J Wu, Q Huang
Applied Physics A 116, 1747-1756, 2014
72014
A multi-dimensional SRBM: geometric views of its product form stationary distribution
JG Dai, M Miyazawa, J Wu
Queueing Systems 78 (4), 313-335, 2014
62014
Departure headway distribution modeling for ordinary large cities based on video information
J Wu, J Hu, J Sun
5th International Conference on Computer Sciences and Convergence …, 2010
52010
Decomposable stationary distribution of a multidimensional SRBM
JG Dai, M Miyazawa, J Wu
Stochastic Processes and their Applications 125 (5), 1799-1820, 2015
42015
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