• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20082021

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  • 2020

    Amortized finite element analysis for fast PDE-constrained optimization

    Xue, T., Beatson, A., Adriaenssens, S. M. & Adams, R. P., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10569-10578 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Efficient optimization of loops and limits with randomized telescoping sums

    Beatson, A. & Adams, R. P., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 836-854 19 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • 2017

    Variational boosting: Iteratively refining posterior approximations

    Miller, A. C., Foti, N. J. & Adams, R. P., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 3732-3747 16 p. (34th International Conference on Machine Learning, ICML 2017; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations
  • 2016

    Predictive entropy search for multi-objective Bayesian optimization

    Hernández-Lobato, D., Hernández-Lobato, J. M., Shah, A. & Adams, R. P., Jan 1 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 2219-2237 19 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    19 Scopus citations
  • The Segmented iHMM: A simple, efficient hierarchical infinite HMM

    Saeedi, A., Hoffman, M., Johnson, M. & Adams, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3949-3959 11 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 6).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Variability and predictability in tactile sensing during grasping

    Wan, Q., Adams, R. P. & Howe, R. D., Jun 8 2016, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016. Institute of Electrical and Electronics Engineers Inc., p. 158-164 7 p. 7487129. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Scopus citations
  • 2015

    Celeste: Variational inference for a generative model of astronomical images

    Regier, J., Miller, A., McAuliffe, J., Adams, R., Hoffman, M., Lang, D., Schlegel, D. & Prabhat, 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 2095-2103 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • Firefly Monte Carlo: Exact MCMC with subsets of data

    Maclaurin, D. & Adams, R. P., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 4289-4295 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Scopus citations
  • Graph-Sparse LDA: A topic model with structured sparsity

    Doshi-Velez, F., Wallace, B. C. & Adams, R., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 2575-2581 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Scopus citations
  • Predictive Entropy Search for Bayesian optimization with unknown constraints

    Hernández-Lobato, J. M., Gelbart, M. A., Hoffman, M. W., Adams, R. P. & Ghahramani, Z., 2015, 32nd International Conference on Machine Learning, ICML 2015. Blei, D. & Bach, F. (eds.). International Machine Learning Society (IMLS), p. 1699-1707 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    41 Scopus citations
  • Probabilistic backpropagation for scalable learning of Bayesian neural networks

    Hernández-Lobato, J. M. & Adams, R. P., Jan 1 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 1861-1869 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    230 Scopus citations
  • Scalable Bayesian optimization using deep neural networks

    Snoek, J., Ripped, O., Swersky, K., Kiros, R., Satish, N., Sundaram, N., Patwary, M. M. A., Prabhat & Adams, R. P., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 2161-2170 10 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    211 Scopus citations
  • 2014

    Accelerating MCMC via parallel predictive prefetching

    Angelino, E., Kohler, E., Waterland, A., Seltzer, M. & Adams, R. P., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 22-31 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Scopus citations
  • ASC: Automatically scalable computation

    Waterland, A., Angelino, E., Adams, R. P., Appavoo, J. & Seltzer, M., 2014, ASPLOS 2014 - 19th International Conference on Architectural Support for Programming Languages and Operating Systems. p. 575-589 15 p. (International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • Bayesian optimization with unknown constraints

    Gelbart, M. A., Snoek, J. & Adams, R. P., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 250-259 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    82 Scopus citations
  • Discovering latent network structure in point process data

    Linderman, S. W. & Adams, R. P., Jan 1 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3268-3281 14 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    37 Scopus citations
  • Factorized point process intensities: A spatial analysis of professional basketball

    Miller, A., Bomn, L., Adams, R. & Goldsberry, K., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 398-414 17 p. (31st International Conference on Machine Learning, ICML 2014; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    20 Scopus citations
  • Firefly Monte Carlo: Exact MCMC with subsets of data

    Maclaurin, D. & Adams, R. P., Jan 1 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 543-552 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    44 Scopus citations
  • Input warping for Bayesian optimization of non-stationary functions

    Snoek, J., Swersky, K., Zemel, R. & Adams, R. P., Jan 1 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3654-3662 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    37 Scopus citations
  • Learning ordered representations with nested dropout

    Rippel, O., Gelbart, M. A. & Adams, R. P., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3746-3756 11 p. (31st International Conference on Machine Learning, ICML 2014; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Scopus citations
  • Learning the parameters of determinantal point process kernels

    Affandi, R. H., Fox, E. B., Adams, R. P. & Taskar, B., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2967-2981 15 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    26 Scopus citations
  • Trick or treat: Putting peer prediction to the test

    Gao, X. A., Mao, A., Chen, Y. & Adams, R. P., 2014, EC 2014 - Proceedings of the 15th ACM Conference on Economics and Computation. Association for Computing Machinery, p. 507-524 18 p. (EC 2014 - Proceedings of the 15th ACM Conference on Economics and Computation).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    20 Scopus citations
  • 2013

    Bootstrap learning via modular concept discovery

    Dechter, E., Malmaud, J., Adams, R. P. & Tenenbaum, J. B., Dec 1 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1302-1309 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    18 Scopus citations
  • Computational caches

    Waterland, A., Angelino, E., Cubuk, E. D., Kaxiras, E., Adams, R. P., Appavoo, J. & Seltzer, M., 2013, Proceedings of the 6th International Systems and Storage Conference, SYSTOR 2013. 8. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • Learning outcome-discriminative dynamics in multivariate physiological cohort time series

    Nemati, S., Lehman, L. W. H. & Adams, R. P., 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. p. 7104-7107 4 p. 6611195. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series

    Lehman, L. W. H., Nemati, S., Adams, R. P., Moody, G., Malhotra, A. & Mark, R. G., 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. p. 7072-7075 4 p. 6611187. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Scopus citations
  • 2012

    Cardinality restricted boltzmann machines

    Swersky, K., Tarlow, D., Sutskever, I., Salakhutdinov, R., Zemel, R. S. & Adams, R. P., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 3293-3301 9 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Scopus citations
  • Discovering shared cardiovascular dynamics within a patient cohort

    Nemati, S., Lehman, L. W. H., Adams, R. P. & Malhotra, A., 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. p. 6526-6529 4 p. 6347489. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU

    Lehman, L. W. H., Nemati, S., Adams, R. P. & Mark, R. G., 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. p. 5939-5942 4 p. 6347346. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations
  • Fast exact inference for recursive cardinality models

    Tarlow, D., Swersky, K., Zemel, R. S., Adams, R. P. & Frey, B. J., Dec 1 2012, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012. p. 825-834 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    27 Scopus citations
  • Learning structural element patch models with hierarchical palettes

    Chua, J., Givoni, I., Adams, R. & Frey, B., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 2416-2423 8 p. 6247955. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • Practical Bayesian optimization of machine learning algorithms

    Snoek, J., Larochelle, H. & Adams, R. P., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 2951-2959 9 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2452 Scopus citations
  • Priors for diversity in generative latent variable models

    Zou, J. Y. & Adams, R. P., Dec 1 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. Vol. 4. p. 2996-3004 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    49 Scopus citations
  • Probabilistic n-choose-κ models for classification and ranking

    Swersky, K., Tarlow, D., Adams, R. P., Zemel, R. S. & Frey, B. J., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 3050-3058 9 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations
  • Revisiting uncertainty in graph cut solutions

    Tarlow, D. & Adams, R. P., 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 2440-2447 8 p. 6247958. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Scopus citations
  • Training restricted boltzmann machines on word observations

    Dahl, G. E., Adams, R. P. & Larochelle, H., Oct 10 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 679-686 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    40 Scopus citations
  • 2010

    Incorporating side information in probabilistic matrix factorization with Gaussian processes

    Adams, R. P., Dahl, G. E. & Murray, I., Dec 1 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010. p. 1-9 9 p. (Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    42 Scopus citations
  • Slice sampling covariance hyperparameters of latent Gaussian models

    Murray, I. & Adams, R. P., Dec 1 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    86 Scopus citations
  • Tree-structured stick breaking for hierarchical data

    Adams, R. P., Ghahramani, Z. & Jordan, M. I., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    82 Scopus citations
  • 2009

    Archipelago: Nonparametric Bayesian semi-supervised learning

    Adams, R. P. & Ghahramani, Z., Dec 9 2009, Proceedings of the 26th International Conference On Machine Learning, ICML 2009. p. 1-8 8 p. (Proceedings of the 26th International Conference On Machine Learning, ICML 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations
  • Archipelago: Nonparametric bayesian semi-supervised learning

    Adams, R. P. & Ghahramani, Z., Sep 15 2009, Proceedings of the 26th Annual International Conference on Machine Learning, ICML'09. 1. (ACM International Conference Proceeding Series; vol. 382).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • The Gaussian process density sampler

    Adams, R. P., Murray, I. & MacKay, D. J. C., Dec 1 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 9-16 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    71 Scopus citations
  • Tractable nonparametric bayesian inference in poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Proceedings of the 26th Annual International Conference on Machine Learning, ICML'09. Association for Computing Machinery (ACM), 2. (ACM International Conference Proceeding Series; vol. 382).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., Dec 9 2009, Proceedings of the 26th International Conference On Machine Learning, ICML 2009. p. 9-16 8 p. (Proceedings of the 26th International Conference On Machine Learning, ICML 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    63 Scopus citations
  • 2008

    Gaussian process product models for nonparametric nonstationarity

    Adams, R. P. & Stegle, O., 2008, Proceedings of the 25th International Conference on Machine Learning. Association for Computing Machinery (ACM), p. 1-8 8 p. (Proceedings of the 25th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    21 Scopus citations