Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSinead Williamson
Person information
- affiliation: University of Texas at Austin, Department of Statistics and Data Science, Austin, TX, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j10]Michael Minyi Zhang
, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt:
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. IEEE Trans. Signal Process. 71: 1539-1550 (2023)- 2022
- [j9]Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo:
Federating recommendations using differentially private prototypes. Pattern Recognit. 129: 108746 (2022) - [j8]Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz:
Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. Stat. Comput. 32(3): 50 (2022) - 2021
- [j7]Sinead A. Williamson, Jette Henderson:
Understanding Collections of Related Datasets Using Dependent MMD Coresets. Inf. 12(10): 392 (2021) - 2020
- [j6]Sinead A. Williamson, Michael Minyi Zhang, Paul Damien:
A New Class of Time Dependent Latent Factor Models with Applications. J. Mach. Learn. Res. 21: 27:1-27:24 (2020) - 2019
- [j5]Michael Minyi Zhang, Sinead A. Williamson:
Embarrassingly Parallel Inference for Gaussian Processes. J. Mach. Learn. Res. 20: 169:1-169:26 (2019) - 2018
- [j4]Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes:
A scalable preference model for autonomous decision-making. Mach. Learn. 107(6): 1039-1068 (2018) - 2017
- [j3]Finale Doshi-Velez, Sinead A. Williamson:
Restricted Indian buffet processes. Stat. Comput. 27(5): 1205-1223 (2017) - 2016
- [j2]Sinead A. Williamson:
Nonparametric Network Models for Link Prediction. J. Mach. Learn. Res. 17: 202:1-202:21 (2016) - 2015
- [j1]Nicholas J. Foti, Sinead A. Williamson:
A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 359-371 (2015)
Conference and Workshop Papers
- 2024
- [c18]Luhuan Wu, Sinead A. Williamson:
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation. AISTATS 2024: 3376-3384 - 2020
- [c17]Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson:
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. AISTATS 2020: 3685-3695 - [c16]Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh:
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI 2020: 5249-5251 - 2019
- [c15]Mohamed Baker Alawieh, Sinead A. Williamson, David Z. Pan:
Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models. DAC 2019: 65 - [c14]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance Weighted Generative Networks. ECML/PKDD (2) 2019: 249-265 - [c13]Sinead A. Williamson, Mauricio Tec:
Random Clique Covers for Graphs with Local Density and Global Sparsity. UAI 2019: 228-238 - 2016
- [c12]Kumar Avinava Dubey, Sashank J. Reddi, Sinead A. Williamson, Barnabás Póczos, Alexander J. Smola, Eric P. Xing:
Variance Reduction in Stochastic Gradient Langevin Dynamics. NIPS 2016: 1154-1162 - 2014
- [c11]Kumar Avinava Dubey, Qirong Ho, Sinead A. Williamson, Eric P. Xing:
Dependent nonparametric trees for dynamic hierarchical clustering. NIPS 2014: 1152-1160 - [c10]Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing:
Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. UAI 2014: 142-151 - 2013
- [c9]Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson:
A unifying representation for a class of dependent random measures. AISTATS 2013: 20-28 - [c8]Sinead Williamson, Avinava Dubey, Eric P. Xing:
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models. ICML (1) 2013: 98-106 - [c7]Sinead Williamson, Steve N. MacEachern, Eric P. Xing:
Restricting exchangeable nonparametric distributions. NIPS 2013: 2598-2606 - [c6]Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing:
A Nonparametric Mixture Model for Topic Modeling over Time. SDM 2013: 530-538 - 2012
- [c5]Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson:
Modeling Images using Transformed Indian Buffet Processes. ICML 2012 - [c4]Nicholas J. Foti, Sinead Williamson:
Slice sampling normalized kernel-weighted completely random measure mixture models. NIPS 2012: 2249-2257 - 2010
- [c3]Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei:
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML 2010: 1151-1158 - [c2]Sinead Williamson, Peter Orbanz, Zoubin Ghahramani:
Dependent Indian Buffet Processes. AISTATS 2010: 924-931 - 2008
- [c1]Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani:
Statistical models for partial membership. ICML 2008: 392-399
Informal and Other Publications
- 2024
- [i18]Luhuan Wu, Sinead Williamson:
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation. CoRR abs/2403.12729 (2024) - 2023
- [i17]Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb:
Bootstrap Your Own Variance. CoRR abs/2312.03213 (2023) - 2022
- [i16]Reza Namazi, Elahe Ghalebi, Sinead Williamson, Hamidreza Mahyar:
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework. CoRR abs/2201.12670 (2022) - [i15]Natalie Klein, Amber J. Day, Harris Mason, Michael W. Malone, Sinead A. Williamson:
Denoising neural networks for magnetic resonance spectroscopy. CoRR abs/2211.00080 (2022) - 2020
- [i14]Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson:
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. CoRR abs/2001.05591 (2020) - [i13]Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo:
Federating Recommendations Using Differentially Private Prototypes. CoRR abs/2003.00602 (2020) - [i12]Shorya Consul, Sinead Williamson:
Differentially Private Median Forests for Regression and Classification. CoRR abs/2006.08795 (2020) - [i11]Sinead A. Williamson:
ANOVA exemplars for understanding data drift. CoRR abs/2006.14621 (2020) - 2019
- [i10]Thom Lake, Sinead A. Williamson, Alexander T. Hawk, Christopher C. Johnson, Benjamin P. Wing:
Large-scale Collaborative Filtering with Product Embeddings. CoRR abs/1901.04321 (2019) - [i9]Guy W. Cole, Sinead A. Williamson:
Stochastic Blockmodels with Edge Information. CoRR abs/1904.02016 (2019) - [i8]Sinead A. Williamson, Michael Minyi Zhang, Paul Damien:
A New Class of Time Dependent Latent Factor Models with Applications. CoRR abs/1904.08548 (2019) - [i7]Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt:
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. CoRR abs/1905.10003 (2019) - [i6]Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson:
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. CoRR abs/1905.11724 (2019) - [i5]Guy W. Cole, Sinead A. Williamson:
Avoiding Resentment Via Monotonic Fairness. CoRR abs/1909.01251 (2019) - [i4]Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson:
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. CoRR abs/1910.05098 (2019) - 2018
- [i3]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance weighted generative networks. CoRR abs/1806.02512 (2018) - 2012
- [i2]Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson:
A unifying representation for a class of dependent random measures. CoRR abs/1211.4753 (2012) - [i1]Nicholas J. Foti, Sinead Williamson:
A survey of non-exchangeable priors for Bayesian nonparametric models. CoRR abs/1211.4798 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-14 22:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
