• 6233 Citations
  • 29 h-Index
20082020

Research output per year

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Research Output

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Conference 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

1 Scopus citations
2017

Variational boosting: Iteratively refining posterior approximations

Miller, A. C., Foti, N. J. & Adams, R. P., Jan 1 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

7 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

13 Scopus citations

The Segmented iHMM: A simple, efficient hierarchical infinite HMM

Saeedi, A., Hoffman, M., Johnson, M. & Adams, R., Jan 1 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

9 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, Jan 1 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

12 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

12 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

14 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., Jan 1 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

30 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

161 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., Jan 1 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

155 Scopus citations
2014

Accelerating MCMC via parallel predictive prefetching

Angelino, E., Kohler, E., Waterland, A., Seltzer, M. & 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. 22-31 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

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

8 Scopus citations

ASC: Automatically scalable computation

Waterland, A., Angelino, E., Adams, R. P., Appavoo, J. & Seltzer, M., Mar 14 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., Jan 1 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

58 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

33 Scopus citations

Factorized point process intensities: A spatial analysis of professional basketball

Miller, A., Bomn, L., Adams, R. & Goldsberry, K., Jan 1 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

18 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

40 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

28 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

8 Scopus citations

Learning the parameters of determinantal point process kernels

Affandi, R. H., Fox, E. B., Adams, R. P. & Taskar, B., Jan 1 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

21 Scopus citations

Trick or treat: Putting peer prediction to the test

Gao, X. A., Mao, A., Chen, Y. & Adams, R. P., Jan 1 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

14 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

13 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., Oct 31 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

3 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., Dec 1 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

14 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

10 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

9 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

26 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., Dec 1 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

1728 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

48 Scopus citations

Probabilistic n-choose-κ models for classification and ranking

Swersky, K., Tarlow, D., Adams, R. P., Zemel, R. S. & Frey, B. J., Dec 1 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

11 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

36 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

38 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

80 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

78 Scopus citations
2009

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

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

9 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

65 Scopus citations

Tractable nonparametric bayesian inference in poisson processes with Gaussian process intensities

Adams, R. P., Murray, I. & MacKay, D. J. C., Jan 1 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

5 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

61 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

18 Scopus citations