| Asymptotically Exact, Embarrassingly Parallel MCMC W Neiswanger, C Wang, E Xing | 318 | 2014 |
| 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 | 249 | 2018 |
| Bananas: Bayesian optimization with neural architectures for neural architecture search C White, W Neiswanger, Y Savani arXiv preprint arXiv:1910.11858, 2019 | 44 | 2019 |
| 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 | 36 | 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 | 36* | 2014 |
| Fast distribution to real regression J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing Artificial Intelligence and Statistics, 706-714, 2014 | 35 | 2014 |
| 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 | 33 | 2016 |
| 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 | 32 | 2018 |
| 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 | 22 | 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 | 21 | 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 | 20 | 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 | 16* | 2015 |
| Embarrassingly parallel variational inference in nonconjugate models W Neiswanger, C Wang, E Xing arXiv preprint arXiv:1510.04163, 2015 | 15 | 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 | 14 | 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 | 14* | 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 | 12* | 2019 |
| Asynchronous Parallel Block-Coordinate Frank-Wolfe YX Wang, V Sadhanala, W Dai, W Neiswanger Asynchronous parallel block-coordinate frank-wolfe. arXiv preprint, 2014 | 12* | 2014 |
| Post-inference prior swapping W Neiswanger, E Xing Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 9 | 2017 |
| Modeling citation networks using latent random offsets W Neiswanger, C Wang, Q Ho, E P Xing Carnegie Mellon University, 2014 | 9 | 2014 |
| A study on encodings for neural architecture search C White, W Neiswanger, S Nolen, Y Savani arXiv preprint arXiv:2007.04965, 2020 | 8 | 2020 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
