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Trick or Treat: Putting Peer Prediction to the Test

Trick or Treat: Putting Peer Prediction to the Test. Gao, XA, Mao A, Chen Y, Adams RP.  Fifteenth ACM Conference on Economics and Computation (EC). 2014.   { PDF | Google Scholar | BibTex }

Avoiding Pathologies in Very Deep Networks

Avoiding Pathologies in Very Deep Networks. Duvenaud, D, Rippel O, Adams RP, Ghahramani Z.  Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS). 2014.   { arXiv:1402.5836 [stat.ML] | PDF | Code | Google Scholar | BibTex }

ASC: Automatically Scalable Computation

ASC: Automatically Scalable Computation. Waterland, A, Angelino E, Adams RP, Appavoo J, Seltzer M.  Nineteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). 575-590. 2014.   { PDF | Google Scholar | BibTex }

Message Passing Inference with Chemical Reaction Networks

Message Passing Inference with Chemical Reaction Networks. Napp, N, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Google Scholar | BibTex }

Multi-Task Bayesian Optimization

Multi-Task Bayesian Optimization. Swersky, K, Snoek J, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Code | Google Scholar | BibTex }

Contrastive Learning Using Spectral Methods

Contrastive Learning Using Spectral Methods. Zou, J, Hsu D, Parkes D, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Google Scholar | BibTex }

Gaussian Process Kernels for Pattern Discovery and Extrapolation

Gaussian Process Kernels for Pattern Discovery and Extrapolation. Wilson, AG, Adams RP.  Proceedings of the 30th International Conference on Machine Learning. 2013.   { arXiv:1302.4245 [stat.ML] | PDF | Code | Google Scholar | BibTex }

Practical Bayesian Optimization of Machine Learning Algorithms

Practical Bayesian Optimization of Machine Learning Algorithms. Snoek, J, Larochelle H, Adams RP.  Advances in Neural Information Processing Systems 25. 2012.   { arXiv:1206.2944 [stat.ML] | PDF | Code | Google Scholar | BibTex }