Sledovat
Willie Neiswanger
Willie Neiswanger
Postdoc, Computer Science, Stanford University
E-mailová adresa ověřena na: cs.stanford.edu - Domovská stránka
Název
Citace
Citace
Rok
Neural architecture search with bayesian optimisation and optimal transport
K Kandasamy, W Neiswanger, J Schneider, B Poczos, E Xing
Proceedings of the 32nd International Conference on Neural Information …, 2018
5202018
Asymptotically Exact, Embarrassingly Parallel MCMC
W Neiswanger, C Wang, E Xing
3822014
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
1902021
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ...
Journal of Machine Learning Research 21 (81), 1-27, 2020
1452020
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
1012020
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
872020
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.
A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ...
OSDI 21, 1-18, 2021
592021
A study on encodings for neural architecture search
C White, W Neiswanger, S Nolen, Y Savani
Advances in Neural Information Processing Systems 33, 2020
582020
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
B Boecking, W Neiswanger, E Xing, A Dubrawski
International Conference on Learning Representations (ICLR), 2021
552021
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
452016
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
442014
Beyond pinball loss: Quantile methods for calibrated uncertainty quantification
Y Chung, W Neiswanger, I Char, J Schneider
Proceedings of the 35th International Conference on Neural Information …, 2021
432021
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
42*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
412018
Uncertainty toolbox: an open-source library for assessing, visualizing, and improving uncertainty quantification
Y Chung, I Char, H Guo, J Schneider, W Neiswanger
arXiv preprint arXiv:2109.10254, 2021
382021
Offline contextual bayesian optimization
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems 32, 2019
31*2019
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
292015
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
24*2019
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
242017
Post-inference Methods for Scalable Probabilistic Modeling and Sequential Decision Making
W Neiswanger
Carnegie Mellon University, 2019
23*2019
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20