Ryan P. Adams
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Ryan P. Adams

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20082024

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  • 2023

    Gradient-Based Dovetail Joint Shape Optimization for Stiffness

    Sun, X., Cai, C., Adams, R. P. & Rusinkiewicz, S., Oct 8 2023, Proceedings - SCF 2023: 8th Annual ACM Symposium on Computational Fabrication. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, 5. (Proceedings - SCF 2023: 8th Annual ACM Symposium on Computational Fabrication).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites

    Sun, X., Roeder, G., Xue, T., Adams, R. P. & Rusinkiewicz, S., Oct 8 2023, Proceedings - SCF 2023: 8th Annual ACM Symposium on Computational Fabrication. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, 8. (Proceedings - SCF 2023: 8th Annual ACM Symposium on Computational Fabrication).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    2 Scopus citations
  • 2022

    Multi-fidelity Monte Carlo: a pseudo-marginal approach

    Cai, D. & Adams, R. P., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations
  • 2021

    Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate

    Sun, X., Xue, T., Rusinkiewicz, S. & Adams, R. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 18891-18906 16 p. (Advances in Neural Information Processing Systems; vol. 23).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations

  • Slice Sampling Reparameterization Gradients

    Zoltowski, D. M., Cai, D. & Adams, R. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23532-23544 13 p. (Advances in Neural Information Processing Systems; vol. 28).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations

  • Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

    Ghosh, D., Rahme, J., Kumar, A., Zhang, A., Adams, R. P. & Levine, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25502-25515 14 p. (Advances in Neural Information Processing Systems; vol. 31).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    39 Scopus citations
  • 2020

    Amortized finite element analysis for fast PDE-constrained optimization

    Xue, T., Beatson, A., Adriaenssens, S. & 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 proceeding › Conference contribution

    12 Scopus citations
  • 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 proceeding › Conference contribution

    7 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 proceeding › Conference contribution

    27 Scopus citations
  • 2016

    Predictive entropy search for multi-objective Bayesian optimization

    Hernández-Lobato, D., Hernández-Lobato, J. M., Shah, A. & Adams, R. P., 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 proceeding › Conference contribution

    56 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 proceeding › Conference contribution

    3 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 proceeding › Conference contribution

    19 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 proceeding › Conference contribution

    23 Scopus citations

  • Firefly Monte Carlo: Exact MCMC with subsets of data

    Maclaurin, D. & Adams, R. P., 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 proceeding › Conference contribution

    29 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 proceeding › Conference contribution

    24 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 proceeding › Conference contribution

    92 Scopus citations

  • Probabilistic backpropagation for scalable learning of Bayesian neural networks

    Hernández-Lobato, J. M. & Adams, R. P., 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 proceeding › Conference contribution

    552 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 proceeding › Conference contribution

    465 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 proceeding › Conference contribution

    12 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 proceeding › Conference contribution

    7 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 proceeding › Conference contribution

    209 Scopus citations

  • Discovering latent network structure in point process data

    Linderman, S. W. & Adams, R. P., 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 proceeding › Conference contribution

    47 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 proceeding › Conference contribution

    23 Scopus citations

  • Firefly Monte Carlo: Exact MCMC with subsets of data

    Maclaurin, D. & Adams, R. P., 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 proceeding › Conference contribution

    58 Scopus citations

  • Input warping for Bayesian optimization of non-stationary functions

    Snoek, J., Swersky, K., Zemel, R. & Adams, R. P., 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 proceeding › Conference contribution

    53 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 proceeding › Conference contribution

    19 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 proceeding › Conference contribution

    33 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 proceeding › Conference contribution

    Open Access
    33 Scopus citations
  • 2013

    Bootstrap learning via modular concept discovery

    Dechter, E., Malmaud, J., Adams, R. P. & Tenenbaum, J. B., 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 proceeding › Conference contribution

    40 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 proceeding › Conference contribution

    6 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 proceeding › Conference contribution

    Open Access
    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 proceeding › Conference contribution

    Open Access
    11 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 proceeding › Conference contribution

    21 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 proceeding › Conference contribution

    Open Access
    12 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 proceeding › Conference contribution

    Open Access
    14 Scopus citations

  • Fast exact inference for recursive cardinality models

    Tarlow, D., Swersky, K., Zemel, R. S., Adams, R. P. & Frey, B. J., 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 proceeding › Conference contribution

    28 Scopus citations

  • Learning structural element patch models with hierarchical palettes

    Chua, J., Givoni, I., Adams, R. & Frey, B., 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 proceeding › Conference 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 proceeding › Conference contribution

    5139 Scopus citations

  • Priors for diversity in generative latent variable models

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    60 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 proceeding › Conference contribution

    10 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 proceeding › Conference contribution

    Open Access
    16 Scopus citations

  • Training restricted boltzmann machines on word observations

    Dahl, G. E., Adams, R. P. & Larochelle, H., 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 proceeding › Conference contribution

    43 Scopus citations
  • 2010

    Incorporating side information in probabilistic matrix factorization with Gaussian processes

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    52 Scopus citations

  • Slice sampling covariance hyperparameters of latent Gaussian models

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

    114 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. Neural Information Processing Systems, (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 proceeding › Conference contribution

    96 Scopus citations
  • 2009

    Archipelago: Nonparametric bayesian semi-supervised learning

    Adams, R. P. & Ghahramani, Z., 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 proceeding › Conference contribution

    4 Scopus citations

  • Archipelago: Nonparametric Bayesian semi-supervised learning

    Adams, R. P. & Ghahramani, Z., 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 proceeding › Conference contribution

    10 Scopus citations

  • The Gaussian process density sampler

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    112 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 proceeding › Conference contribution

    Open Access
    14 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 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 proceeding › Conference contribution

    67 Scopus citations