受强制性开放获取政策约束的文章 - Willie Neiswanger了解详情
可在其他位置公开访问的文章：29 篇
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US Department of Energy
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US Department of Energy
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
A study on encodings for neural architecture search
C White, W Neiswanger, S Nolen, Y Savani
Advances in Neural Information Processing Systems 33, 2020
强制性开放获取政策： US Department of Energy
Offline contextual bayesian optimization
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems 32, 2019
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, National Research Foundation, Singapore
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
强制性开放获取政策： US National Institutes of Health, Wellcome Trust, European Commission, Human …
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
W Neiswanger, KA Wang, S Ermon
International Conference on Machine Learning, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Neural dynamical systems: Balancing structure and flexibility in physical prediction
V Mehta, I Char, W Neiswanger, Y Chung, A Nelson, M Boyer, E Kolemen, ...
2021 60th IEEE Conference on Decision and Control (CDC), 3735-3742, 2021
强制性开放获取政策： US National Science Foundation
Generalized P {\'o} lya Urn for Time-Varying Pitman-Yor Processes
F Caron, W Neiswanger, F Wood, A Doucet, M Davy
Journal of Machine Learning Research 18 (27), 1-32, 2017
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Post-inference Methods for Scalable Probabilistic Modeling and Sequential Decision Making
W Neiswanger
Carnegie Mellon University, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ...
Nuclear Fusion 62 (4), 042024, 2022
强制性开放获取政策： US Department of Energy
Bayesian optimization algorithms for accelerator physics
R Roussel, AL Edelen, T Boltz, D Kennedy, Z Zhang, F Ji, X Huang, ...
Physical review accelerators and beams 27 (8), 084801, 2024
强制性开放获取政策： European Commission
Uncertainty quantification using martingales for misspecified Gaussian processes
W Neiswanger, A Ramdas
Algorithmic Learning Theory, 963--982, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy
A general recipe for likelihood-free Bayesian optimization
J Song, L Yu, W Neiswanger, S Ermon
International Conference on Machine Learning (ICML), 20384-20404, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Modular conformal calibration
C Marx, S Zhao, W Neiswanger, S Ermon
International Conference on Machine Learning (ICML), 15180-15195, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Computational catalyst discovery: Active classification through myopic multiscale sampling
K Tran, W Neiswanger, K Broderick, E Xing, J Schneider, ZW Ulissi
The Journal of Chemical Physics 154 (12), 124118, 2021
强制性开放获取政策： US Department of Energy
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