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Dive into the research topics where Ryan P. Adams is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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RI: Small: Accelerating Machine Learning via Randomized Automatic Differentiation
NSF - National Science Foundation
10/1/20 → 9/30/23
Project: Research project
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RI: Small: Parallel Markov Chain Monte Carlo Methods for Scalable Bayesian Inference
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
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Active Multi-Fidelity Bayesian Online Changepoint Detection
Gundersen, G. W., Cai, D., Zhou, C., Engelhardt, B. E. & Adams, R. P., 2021, p. 1916-1926. 11 p.Research output: Contribution to conference › Paper › peer-review
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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, MA., 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
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Bayesian reaction optimization as a tool for chemical synthesis
Shields, B. J., Stevens, J., Li, J., Parasram, M., Damani, F., Alvarado, J. I. M., Janey, J. M., Adams, R. P. & Doyle, A. G., Feb 4 2021, In: Nature. 590, 7844, p. 89-96 8 p.Research output: Contribution to journal › Article › peer-review
96 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, MA., 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
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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, MA., 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
4 Scopus citations