Publications

2018

Saeedi, Ardavan; Hoffman, Matthew D; DiVerdi, Stephen J; Ghandeharioun, Asma; Johnson, Matthew J; Adams, Ryan P

Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models Conference

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018, (arXiv:1704.04997 [stat.ML]).

Abstract | Links | BibTeX

Gómez-Bombarelli, Rafael; Wei, Jennifer; Duvenaud, David; Hernández-Lobato, Jose Miguel; Sánchez-Lengeling, Benjamin; Sheberla, Dennis; Aguilera-Iparraguirre, Jorge; Hirzel, Timothy D; Adams, Ryan P; Aspuru-Guzik, Alan

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules Journal Article

ACS Central Science, 4 (2), pp. 268–276, 2018, (arXiv:1610.02415 [cs.LG]).

Abstract | Links | BibTeX

2017

Linderman, Scott W; Johnson, Matthew J; Miller, Andrew C; Adams, Ryan P; Blei, David M; Paninski, Liam

Recurrent Switching Linear Dynamical Systems Conference

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 2017, (arXiv:1610.08466 [stat.ML]).

Abstract | Links | BibTeX

Miller, Andrew C; Foti, Nicholas J; Adams, Ryan P

Variational Boosting: Iteratively Refining Posterior Approximations Conference

Proceedings of the 34th International Conference on Machine Learning (ICML), 2017, (arXiv:1611.06585 [stat.ML]).

Abstract | Links | BibTeX

Huggins, Jonathan; Adams, Ryan P; Broderick, Tamara

PASS-GLM: Polynomial Approximate Sufficient Statistics for Scalable Bayesian GLM Inference Conference

Advances in Neural Information Processing Systems (NIPS) 30, 2017, (arXiv:1709.09216 [stat.CO]).

Abstract | Links | BibTeX

Miller, Andrew C; Foti, Nicholas J; d'Amour, Alexander; Adams, Ryan P

Reducing Reparameterization Gradient Variance Conference

Advances in Neural Information Processing Systems (NIPS) 30, 2017, (arXiv:1705.07880 [stat.ML]).

Abstract | Links | BibTeX

2016

Grosse, Roger B; Ghahramani, Zoubin; Adams, Ryan P

Sandwiching the Marginal Likelihood Using Bidirectional Monte Carlo Unpublished

2016, (arXiv:1511.02543 [stat.ML]).

Abstract | Links | BibTeX

Shahriari, Bobak; Swersky, Kevin; Wang, Ziyu; Adams, Ryan P; de Freitas, Nando

Taking the Human Out of the Loop: A Review of Bayesian Optimization Journal Article

Proceedings of the IEEE, 104 (1), pp. 148–175, 2016.

Abstract | Links | BibTeX

Gómez-Bombarelli, Rafael; Aguilera-Iparraguirre, Jorge; Hirzel, Timothy D; Duvenaud, David; Maclaurin, Dougal; Blood-Forsythe, Martin A; Chae, Hyun Sik; Einzinger, Markus; Ha, Dong-Gwang; Wu, Tony; Markopolous, Georgios; Jeon, Soonok; Kang, Hosuk; Miyazaki, Hiroshi; Numata, Masaki; Kim, Sunghan; Huang, Wenliang; Hong, Seong Ik; Baldo, Marc; Adams, Ryan P; Aspuru-Guzik, Alan

Design of Efficient Molecular Organic Light-Emitting Diodes by a High-Throughput Virtual Screening and Experimental Approach Journal Article

Nature Materials, 15 (10), pp. 1120–1127, 2016.

Abstract | Links | BibTeX

Doshi-Velez, Finale; Wallace, Byrown; Adams, Ryan P

Graph-Sparse LDA: A Topic Model with Structured Sparsity Conference

Proceedings of the 29th AAAI Conference on Artificial Intelligence, 2016, (arXiv:1410.4510 [stat.ML]).

Abstract | Links | BibTeX

Hennek, Jonathan William; Kumar, Ashok A; Wiltschko, Alexander B; Patton, Matthew; Lee, Si Yi Ryan; Brugnara, Carlo; Adams, Ryan P; Whitesides, George M

Diagnosis of Iron Deficiency Anemia Using Density-based Fractionation of Red Blood Cells Journal Article

Lab on a Chip VOLUME = "16", pp. 3929–3939, 2016.

Abstract | Links | BibTeX

Angelino, Elaine; Johnson, Matthew J; Adams, Ryan P

Patterns of Scalable Bayesian Inference Journal Article

Foundations and Trends in Machine Learning, 9 (2-3), pp. 119–247, 2016, (arXiv:1602.05221 [stat.ML]).

Abstract | Links | BibTeX

Rao, Vinayak; Adams, Ryan P; Dunson, David B

Bayesian Inference for Matérn Repulsive Processes Journal Article

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79 (3), pp. 877–897, 2016, (arXiv:1308.1136 [stat.ME]).

Abstract | Links | BibTeX

Tarlow, Daniel; Gaunt, Alexander; Adams, Ryan P; Zemel, Richard S

Factorizing Shortest Paths with Randomized Optimum Models Book Chapter

Perturbations, Optimization, and Statistics, MIT Press, Cambridge, MA, 2016.

Abstract | Links | BibTeX

Duvenaud, David; Maclaurin, Dougal; Adams, Ryan P

Early Stopping is Nonparametric Variational Inference Conference

Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2016, (arXiv:1504.01344 [stat.ML]).

Abstract | Links | BibTeX

Wan, Qian; Adams, Ryan P; Howe, Robert D

Variability and Predictability in Tactile Sensing During Grasping Conference

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2016.

Abstract | Links | BibTeX

Saeedi, Ardavan; Hoffman, Matthew D; Johnson, Matthew J; Adams, Ryan P

The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM Conference

Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016, (arXiv:1602.06349 [stat.ML]).

Abstract | Links | BibTeX

Hernández-Lobato, Daniel; Hernández-Lobato, José Miguel; Shah, Amar; Adams, Ryan P

Predictive Entropy Search for Multi-Objective Bayesian Optimization Conference

Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016, (arXiv:1511.05467 [stat.ML]).

Abstract | Links | BibTeX

Johnson, Matthew J; Duvenaud, David; Wiltschko, Alexander B; Datta, Sandeep Robert; Adams, Ryan P

Composing Graphical Models with Neural Networks for Structured Representations and Fast Inference Conference

Advances in Neural Information Processing Systems (NIPS) 29, 2016, (arXiv:1603.06277 [stat.ML]).

Abstract | Links | BibTeX

Linderman, Scott W; Adams, Ryan P; Pillow, Jonathan W

Bayesian Latent Structure Discovery from Multi-neuron Recordings Conference

Advances in Neural Information Processing Systems (NIPS) 29, 2016, (arXiv:1610.08465 [stat.ML]).

Abstract | Links | BibTeX

2015

Lehman, Li-Wei; Johnson, Matthew J; Nemati, Shamim; Adams, Ryan P; Mark, Roger

Bayesian Nonparametric Learning of Switching Dynamics in Cohort Physiological Time Series: Application in Critical Care Patient Monitoring Book Chapter

Advanced State Space Methods for Neural and Clinical Data, Cambridge University Press, Cambridge, UK, 2015.

Abstract | BibTeX

Maclaurin, Dougal; Duvenaud, David; Adams, Ryan P

Gradient-based Hyperparameter Optimization through Reversible Learning Conference

Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015, (arXiv:1502.03492 [stat.ML]).

Abstract | Links | BibTeX

Snoek, Jasper; Rippel, Oren; Swersky, Kevin; Kiros, Ryan; Satish, Nadathur; Sundaram, Narayanan; Patwary, Md. Mostofa Ali; Prabhat, ; Adams, Ryan P

Scalable Bayesian Optimization Using Deep Neural Networks Conference

Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015, (arXiv:1502.05700 [stat.ML]).

Abstract | Links | BibTeX

Hernández-Lobato, José Miguel; Adams, Ryan P

Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks Conference

Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015, (arXiv:1502.05336 [stat.ML]).

Abstract | Links | BibTeX

Hernández-Lobato, José Miguel; Gelbart, Michael A; Hoffman, Matthew W; Adams, Ryan P; Ghahramani, Zoubin

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints Conference

Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015, (arXiv:1502.05312 [stat.ML]).

Abstract | Links | BibTeX

Regier, Jeffrey; Miller, Andrew C; McAuliffe, Jon; Adams, Ryan P; Hoffman, Matthew D; Lang, Dustin; Schlegel, David; Prabhat,

Celeste: Variational Inference for a Generative Model of Astronomical Images Conference

Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015, (arXiv:1506.01351 [astro-ph.IM]).

Abstract | Links | BibTeX

Rippel, Oren; Snoek, Jasper; Adams, Ryan P

Spectral Representations for Convolutional Neural Networks Conference

Advances in Neural Information Processing Systems (NIPS) 28, 2015, (arXiv:1506.03767 [stat.ML]).

Abstract | Links | BibTeX

Wiltschko, Alexander B; Johnson, Matthew J; Iurilli, Giuliano; Peterson, Ralph E; Katon, Jesse M; Pashkovski, Stan L; Abraira, Victoria E; Adams, Ryan P; Datta, Sandeep Robert

Mapping Sub-Second Structure in Mouse Behavior Journal Article

Neuron, 88 (6), pp. 1121–1135, 2015.

Abstract | Links | BibTeX

Miller, Andrew C; Wu, Albert; Regier, Jeffrey; McAuliffe, Jon; Lang, Dustin; Prabhat, ; Schlegel, David; Adams, Ryan P

A Gaussian Process Model of Quasar Spectral Energy Distributions Conference

Advances in Neural Information Processing Systems (NIPS) 28, 2015.

Abstract | Links | BibTeX

Linderman, Scott W; Johnson, Matthew J; Adams, Ryan P

Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation Conference

Advances in Neural Information Processing Systems (NIPS) 28, 2015, (arXiv:1506.05843 [stat.ML]).

Abstract | Links | BibTeX

Duvenaud, David; Maclaurin, Dougal; Aguilera-Iparraguirre, Jorge; Gómez-Bombarelli, Rafael; Hirzel, Timothy D; Aspuru-Guzik, Alan; Adams, Ryan P

Convolutional Networks on Graphs for Learning Molecular Fingerprints Conference

Advances in Neural Information Processing Systems (NIPS) 28, 2015, (arXiv:1509.09292 [stat.ML]).

Abstract | Links | BibTeX

Linderman, Scott W; Adams, Ryan P

Scalable Bayesian Inference for Excitatory Point Process Networks Unpublished

2015, (arXiv:1507.03228 [stat.ML]).

Abstract | Links | BibTeX

Lehman, Li-Wei; Adams, Ryan P; Mayaud, Louis; Moody, George; Malhotra, Atul; Mark, Roger; Nemati, Shamim

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction Journal Article

IEEE Journal of Biomedical and Health Informatics, 19 (3), pp. 1068–1076, 2015.

Abstract | Links | BibTeX

Nemati, Shamim; Adams, Ryan P

Identifying Outcome-Discriminative Dynamics in Multivariate Physiological Cohort Time Series Book Chapter

Advanced State Space Methods for Neural and Clinical Data, Cambridge University Press, Cambridge, UK, 2015.

Abstract | Links | BibTeX

2014

Nishihara, Robert; Murray, Iain; Adams, Ryan P

Parallel MCMC with Generalized Elliptical Slice Sampling Journal Article

Journal of Machine Learning Research, 15 (1), pp. 2087-2112, 2014.

Abstract | Links | BibTeX

Duvenaud, David; Rippel, Oren; Adams, Ryan P; Ghahramani, Zoubin

Avoiding Pathologies in Very Deep Networks Conference

Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014, (arXiv:1402.5836 [stat.ML]).

Abstract | Links | BibTeX

Waterland, Amos; Angelino, Elaine; Adams, Ryan P; Appavoo, Jonathan; Seltzer, Margo

ASC: Automatically Scalable Computation Conference

Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2014.

Abstract | Links | BibTeX

Gao, Xi Alice; Mao, Andrew; Chen, Yiling; Adams, Ryan P

Trick or Treat: Putting Peer Prediction to the Test Conference

Proceedings of the 15th ACM Conference on Economics and Computation (EC), 2014.

Abstract | Links | BibTeX

Affandi, Raja Hafiz; Fox, Emily B; Adams, Ryan P; Taskar, Ben

Learning the Parameters of Determinantal Point Process Kernels Conference

Proceedings of the 31st International Conference on Machine Learning (ICML), 2014.

Abstract | Links | BibTeX

Rippel, Oren; Gelbart, Michael A; Adams, Ryan P

Learning Ordered Representations with Nested Dropout Conference

Proceedings of the 31st International Conference on Machine Learning (ICML), 2014, (arXiv:1402.0915 [stat.ML]).

Abstract | Links | BibTeX

Snoek, Jasper; Swersky, Kevin; Zemel, Richard S; Adams, Ryan P

Input Warping for Bayesian Optimization of Non-Stationary Functions Conference

Proceedings of the 31st International Conference on Machine Learning (ICML), 2014, (arXiv:1402.0929 [stat.ML]).

Abstract | Links | BibTeX

Miller, Andrew C; Bornn, Luke; Adams, Ryan P; Goldsberry, Kirk

Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball Conference

Proceedings of the 31st International Conference on Machine Learning (ICML), 2014, (arXiv:1401.0942 [stat.ML]).

Abstract | Links | BibTeX

Linderman, Scott W; Adams, Ryan P

Discovering Latent Network Structure in Point Process Data Conference

Proceedings of the 31st International Conference on Machine Learning (ICML), 2014, (arXiv:1402.0914 [stat.ML]).

Abstract | Links | BibTeX

Maclaurin, Dougal; Adams, Ryan P

Firefly Monte Carlo: Exact MCMC with Subsets of Data Conference

Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI), 2014, (arXiv:1403.5693 [stat.ML]).

Abstract | Links | BibTeX

Gelbart, Michael A; Snoek, Jasper; Adams, Ryan P

Bayesian Optimization with Unknown Constraints Conference

Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI), 2014, (arXiv:1403.5607 [stat.ML]).

Abstract | Links | BibTeX

Angelino, Elaine; Kohler, Eddie; Waterland, Amos; Seltzer, Margo; Adams, Ryan P

Accelerating MCMC via Parallel Predictive Prefetching Conference

Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI), 2014, (arXiv:1403.7265 [stat.ML]).

Abstract | Links | BibTeX

Linderman, Scott W; Stock, Christopher H; Adams, Ryan P

A Framework for Studying Synaptic Plasticity with Neural Spike Train Data Conference

Advances in Neural Information Processing Systems (NIPS) 27, 2014.

Abstract | Links | BibTeX

Swersky, Kevin; Snoek, Jasper; Adams, Ryan P

Freeze-Thaw Bayesian Optimization Unpublished

2014, (arXiv:1406.3896 [stat.ML]).

Abstract | Links | BibTeX

Engelhardt, Barbara E; Adams, Ryan P

Bayesian Structured Sparsity from Gaussian Fields Unpublished

2014, (arXiv:1407.2235 [stat.ME]).

Abstract | Links | BibTeX

2013

Tse, Henry T K; Gossett, Daniel R; Moon, Yo Sup; Masaeli, Mahdokht; Sohsman, Marie; Ying, Yong; Mislick, Kimberly; Adams, Ryan P; Rao, Jianyu; DiCarlo, Dino

Quantitative Diagnosis of Malignant Pleural Effusions by Single-Cell Mechanophenotyping Journal Article

Science Translational Medicine, 5 (212), 2013.

Abstract | Links | BibTeX

Wilson, Andrew Gordon; Adams, Ryan P

Gaussian Process Kernels for Pattern Discovery and Extrapolation Conference

Proceedings of the 30th International Conference on Machine Learning (ICML), 2013, (arXiv:1302.4245 [stat.ML]).

Abstract | Links | BibTeX

Waterland, Amos; Angelino, Elaine; Cubuk, Elkin D; Kaxiras, Efthimios; Adams, Ryan P; Appavoo, Jonathan; Seltzer, Margo

Computational Caches Conference

Proceedings of the International Systems and Storage Conference (SYSTOR), 2013.

Abstract | Links | BibTeX

Lehman, Li-Wei; Nemati, Shamim; Adams, Ryan P; Moody, George; Malhotra, Atul; Mark, Roger

Tracking Progression of Patient State of Health in Critical Care Using Inferred Shared Dynamics in Physiological Time Series Conference

Proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013.

Abstract | Links | BibTeX

Nemati, Shamim; Lehman, Li-Wei; Adams, Ryan P

Learning Outcome-Discriminative Dynamics in Multivariate Physiological Cohort Time Series Conference

Proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013.

Abstract | Links | BibTeX

Dechter, Eyal; Malmaud, Jonathan; Adams, Ryan P; Tenenbaum, Joshua B

Bootstrap Learning Via Modular Concept Discovery Conference

Proceedings of the 23rd International Joint Conference on Artificial Intelligence, 2013.

Abstract | Links | BibTeX

Swersky, Kevin; Snoek, Jasper; Adams, Ryan P

Multi-Task Bayesian Optimization Conference

Advances in Neural Information Processing Systems (NIPS) 26, 2013.

Abstract | Links | BibTeX

Napp, Nils; Adams, Ryan P

Message Passing Inference with Chemical Reaction Networks Conference

Advances in Neural Information Processing Systems (NIPS) 26, 2013.

Abstract | Links | BibTeX

Snoek, Jasper; Adams, Ryan P; Zemel, Richard S

A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data Conference

Advances in Neural Information Processing Systems (NIPS) 26, 2013.

Abstract | Links | BibTeX

Zou, James Y; Hsu, Daniel; Parkes, David; Adams, Ryan P

Contrastive Learning Using Spectral Methods Conference

Advances in Neural Information Processing Systems (NIPS) 26, 2013.

Abstract | Links | BibTeX

Lovell, Dan; Malmaud, Jonathan; Adams, Ryan P; Mansinghka, Vikash K

ClusterCluster: Parallel Markov Chain Monte Carlo for Đirichlet Process Mixtures Unpublished

2013, (arXiv:1304.2302 [stat.ML]).

Abstract | Links | BibTeX

Rippel, Oren; Adams, Ryan P

High-Dimensional Probability Estimation with Deep Density Models Unpublished

2013, (arXiv:1302.5125 [stat.ML]).

Abstract | Links | BibTeX

2012

Tarlow, Daniel; Adams, Ryan P; Zemel, Richard S

Randomized Optimum Models for Structured Prediction Conference

Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.

Abstract | Links | BibTeX

Snoek, Jasper; Adams, Ryan P; Larochelle, Hugo

On Nonparametric Guidance for Learning Autoencoder Representations Conference

Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012, (arXiv:1102.1492v4 [stat.ML]).

Abstract | Links | BibTeX

Chua, Jeroen; Givoni, Inmar; Adams, Ryan P; Frey, Brendan

Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition Book Chapter

Machine Learning for Computer Vision, Springer, Berlin, 2012.

Abstract | Links | BibTeX

Dahl, George E; Adams, Ryan P; Larochelle, Hugo

Training Restricted Boltzmann Machines on Word Observations Conference

Proceedings of the 29th International Conference on Machine Learning (ICML), 2012, (arXiv:1202.5695 [cs.LG]).

Abstract | Links | BibTeX

Tarlow, Daniel; Adams, Ryan P

Revisiting Uncertainty in Graph Cut Solutions Conference

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

Abstract | Links | BibTeX

Chua, Jeroen; Givoni, Inmar; Adams, Ryan P; Frey, Brendan

Learning Structural Element Patch Models with Hierarchical Palettes Conference

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

Abstract | Links | BibTeX

Tarlow, Daniel; Swersky, Kevin; Zemel, Richard S; Adams, Ryan P; Frey, Brendan

Fast Exact Inference in Recursive Cardinality Models Conference

Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI), 2012.

Abstract | Links | BibTeX

Lehman, Li-Wei; Nemati, Shamim; Adams, Ryan P; Mark, Roger

Discovering Shared Dynamics in Physiological Signals: Application to Patient Monitoring in ICU Conference

Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012.

Abstract | Links | BibTeX

Nemati, Shamim; Lehman, Li-Wei; Adams, Ryan P; Malhotra, Atul

Discovering Shared Cardiovascular Dynamics within a Patient Cohort Conference

Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012.

Abstract | Links | BibTeX

Snoek, Jasper; Adams, Ryan P; Larochelle, Hugo

Nonparametric Guidance of Autoencoder Representations Using Label Information Journal Article

Journal of Machine Learning Research, 13 , pp. 2567–2588, 2012.

Abstract | Links | BibTeX

Swersky, Kevin; Tarlow, Daniel; Adams, Ryan P; Zemel, Richard S; Frey, Brendan

Probabilistic n-choose-k Models for Classification and Ranking Conference

Advances in Neural Information Processing Systems (NIPS) 25, 2012.

Abstract | Links | BibTeX

Zou, James Y; Adams, Ryan P

Priors for Diversity in Generative Latent Variable Models Conference

Advances in Neural Information Processing Systems (NIPS) 25, 2012.

Abstract | Links | BibTeX

Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P

Practical Bayesian Optimization of Machine Learning Algorithms Conference

Advances in Neural Information Processing Systems (NIPS) 25, 2012, (arXiv:1206.2944 [stat.ML]).

Abstract | Links | BibTeX

Swersky, Kevin; Tarlow, Daniel; Sutskever, Ilya; Salakhutdinov, Ruslan ; Zemel, Richard S; Adams, Ryan P

Cardinality Restricted Boltzmann Machines Conference

Advances in Neural Information Processing Systems (NIPS) 25, 2012.

Abstract | Links | BibTeX

2011

Adams, Ryan P; Zemel, Richard S

Ranking via Sinkhorn Propagation Unpublished

2011, (arXiv:1106.1925 [stat.ML]).

Abstract | Links | BibTeX

2010

Adams, Ryan P; Dahl, George E; Murray, Iain

Incorporating Side Information into Probabilistic Matrix Factorization Using Gaussian Processes Conference

Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI), 2010, (arXiv:1003.4944 [stat.ML]).

Abstract | Links | BibTeX

Murray, Iain; Adams, Ryan P; MacKay, David J C

Elliptical Slice Sampling Conference

Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 2010, (arXiv:1001.0175 [stat.CO]).

Abstract | Links | BibTeX

Adams, Ryan P; Wallach, Hanna M; Ghahramani, Zoubin

Learning the Structure of Deep Sparse Graphical Models Conference

Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 2010, (arXiv:1001.0160 [stat.ML]).

Abstract | Links | BibTeX

Murray, Iain; Adams, Ryan P

Slice Sampling Covariance Hyperparameters in Latent Gaussian Models Conference

Advances in Neural Information Processing Systems (NIPS) 23, 2010, (arXiv:1006.0868 [stat.CO]).

Abstract | Links | BibTeX

Adams, Ryan P; Ghahramani, Zoubin; Jordan, Michael I

Tree-Structured Stick Breaking for Hierarchical Data Conference

Advances in Neural Information Processing Systems (NIPS) 23, 2010, (arXiv:1006.1062 [stat.ME]).

Abstract | Links | BibTeX

2009

Adams, Ryan P; Ghahramani, Zoubin

Archipelago: Nonparametric Bayesian Semi-Supervised Learning Conference

Proceedings of the 26th International Conference on Machine Learning (ICML), 2009.

Abstract | Links | BibTeX

Adams, Ryan P; Murray, Iain; MacKay, David J C

The Gaussian Process Density Sampler Conference

Advances in Neural Information Processing Systems 21 (NIPS), 2009.

Abstract | Links | BibTeX

Adams, Ryan P; Murray, Iain; MacKay, David J C

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities Conference

Proceedings of the 26th International Conference on Machine Learning (ICML), Montréal, Canada, 2009.

Abstract | Links | BibTeX

Adams, Ryan P; Murray, Iain; MacKay, David J C

Nonparametric Bayesian Density Modeling with Gaussian Processes Unpublished

2009, (arXiv:0912.4896 [stat.CO]).

Abstract | Links | BibTeX

Adams, Ryan P

Kernel Methods for Nonparametric Bayesian Inference of Probability Densities and Point Processes PhD Thesis

University of Cambridge, 2009.

Abstract | Links | BibTeX

2008

Adams, Ryan P; Stegle, Oliver

Gaussian Process Product Models for Nonparametric Nonstationarity Conference

Proceedings of the 25th International Conference on Machine Learning (ICML), Helsinki, Finland, 2008.

Abstract | Links | BibTeX

2007

Adams, Ryan P; MacKay, David J C

Bayesian Online Changepoint Detection Unpublished

2007, (arXiv:0710.3742v1 [stat.ML]).

Abstract | Links | BibTeX