Willie Neiswanger
Willie Neiswanger
Postdoc, Computer Science, Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.stanford.edu - Kotisivu
Asymptotically Exact, Embarrassingly Parallel MCMC
W Neiswanger, C Wang, E Xing
Neural architecture search with bayesian optimisation and optimal transport
K Kandasamy, W Neiswanger, J Schneider, B Poczos, E Xing
arXiv preprint arXiv:1802.07191, 2018
Bananas: Bayesian optimization with neural architectures for neural architecture search
C White, W Neiswanger, Y Savani
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ...
arXiv preprint arXiv:1903.06694, 2019
The dependent Dirichlet process mixture of objects for detection-free tracking and object modeling
W Neiswanger, F Wood, E P Xing
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2014
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
Durable interactions of T cells with T cell receptor stimuli in the absence of a stable immunological synapse
V Mayya, E Judokusumo, EA Shah, CG Peel, W Neiswanger, D Depoil, ...
Cell reports 22 (2), 340-349, 2018
Parallel and distributed block-coordinate Frank-Wolfe algorithms
YX Wang, V Sadhanala, W Dai, W Neiswanger, S Sra, E Xing
International Conference on Machine Learning, 1548-1557, 2016
Chembo: Bayesian optimization of small organic molecules with synthesizable recommendations
K Korovina, S Xu, K Kandasamy, W Neiswanger, B Poczos, J Schneider, ...
International Conference on Artificial Intelligence and Statistics, 3393-3403, 2020
Generalized Pólya urn for time-varying Pitman-Yor processes
F Caron, W Neiswanger, F Wood, A Doucet, M Davy
Journal of Machine Learning Research 18 (27), 2017
Fast function to function regression
J Oliva, W Neiswanger, B Póczos, E Xing, H Trac, S Ho, J Schneider
Artificial Intelligence and Statistics, 717-725, 2015
Integrative analysis of T cell motility from multi-channel microscopy data using TIAM
V Mayya, W Neiswanger, R Medina, CH Wiggins, ML Dustin
Journal of immunological methods 416, 84-93, 2015
Embarrassingly parallel variational inference in nonconjugate models
W Neiswanger, C Wang, E Xing
arXiv preprint arXiv:1510.04163, 2015
Methods for comparing uncertainty quantifications for material property predictions
K Tran, W Neiswanger, J Yoon, Q Zhang, E Xing, ZW Ulissi
Machine Learning: Science and Technology 1 (2), 025006, 2020
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
W Neiswanger, K Kandasamy, B Poczos, J Schneider, E Xing
arXiv preprint arXiv:1901.11515 9, 2019
Myopic posterior sampling for adaptive goal oriented design of experiments
K Kandasamy, W Neiswanger, R Zhang, A Krishnamurthy, J Schneider, ...
International Conference on Machine Learning, 3222-3232, 2019
Asynchronous Parallel Block-Coordinate Frank-Wolfe
YX Wang, V Sadhanala, W Dai, W Neiswanger
Asynchronous parallel block-coordinate frank-wolfe. arXiv preprint, 2014
Post-inference prior swapping
W Neiswanger, E Xing
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Modeling citation networks using latent random offsets
W Neiswanger, C Wang, Q Ho, E P Xing
Carnegie Mellon University, 2014
A study on encodings for neural architecture search
C White, W Neiswanger, S Nolen, Y Savani
Advances in Neural Information Processing Systems 33, 2020
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Artikkelit 1–20