Willie Neiswanger

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Jeff SchneiderCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Kirthevasan KandasamyUniversity of Wisconsin-MadisonPatvirtintas el. paštas cs.wisc.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Ian CharPhD Student, Carnegie MellonPatvirtintas el. paštas andrew.cmu.edu
Stefano ErmonStanford UniversityPatvirtintas el. paštas cs.stanford.edu
Colin WhiteAbacus.AIPatvirtintas el. paštas cs.cmu.edu
Youngseog ChungCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Chong WangApplePatvirtintas el. paštas cs.princeton.edu
Yash SavaniPh.D. Student, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Viraj MehtaTensorZeroPatvirtintas el. paštas tensorzero.com
Sang Keun ChoeAnthropicPatvirtintas el. paštas anthropic.com
Egemen KolemenPrinceton UniversityPatvirtintas el. paštas princeton.edu
Qirong HoMohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Petuum, IncPatvirtintas el. paštas petuum.com
Biswajit PariaGooglePatvirtintas el. paštas google.com
Andrew Oakleigh NelsonAssociate Research Scientist, Columbia UniversityPatvirtintas el. paštas columbia.edu
Michael DustinUniversity of OxfordPatvirtintas el. paštas kennedy.ox.ac.uk
Viveka MayyaUniversity of OxfordPatvirtintas el. paštas kennedy.ox.ac.uk
Zachary W. UlissiMeta Fundamental AI Research, Adjunct Professor CMU ChemEPatvirtintas el. paštas meta.com
Kevin TranToyota Research InstitutePatvirtintas el. paštas tri.global

Stebėti

Willie Neiswanger

Assistant Professor of Computer Science, University of Southern California

Patvirtintas el. paštas cs.stanford.edu - Pagrindinis puslapis

Machine Learning Statistics Optimization Sequential Decision Making AI-for-Science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	726	2018
Asymptotically Exact, Embarrassingly Parallel MCMC W Neiswanger, C Wang, E Xing	428	2014
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	373	2021
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	230	2020
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	206	2020
Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ... 15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021	182	2021
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	143	2020
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	101	2021
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	95	2021
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling B Boecking, W Neiswanger, E Xing, A Dubrawski International Conference on Learning Representations (ICLR), 2021	90	2021
A study on encodings for neural architecture search C White, W Neiswanger, S Nolen, Y Savani Advances in Neural Information Processing Systems 33, 2020	82	2020
Synthetic benchmarks for scientific research in explainable machine learning Y Liu, S Khandagale, C White, W Neiswanger arXiv preprint arXiv:2106.12543, 2021	75	2021
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Y Xiao, PP Liang, U Bhatt, W Neiswanger, R Salakhutdinov, LP Morency Findings of the Association for Computational Linguistics: EMNLP 2022, 2022	71	2022
Offline contextual bayesian optimization I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ... Advances in Neural Information Processing Systems 32, 2019	59*	2019
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	53	2016
Fast distribution to real regression J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing Artificial Intelligence and Statistics, 706-714, 2014	52	2014
Llm360: Towards fully transparent open-source llms Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ... arXiv preprint arXiv:2312.06550, 2023	46	2023
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	46*	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	45	2018
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	40	2021

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