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Books and Theses
- 2014
[b1]Levi Boyles:
General Purpose MCMC Sampling for Bayesian Model Averaging. University of California, Irvine, USA, 2014
Conference and Workshop Papers
- 2013
- [c5]James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth
, Max Welling:
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. KDD 2013: 446-454 - 2012
- [c4]Levi Boyles, Max Welling:
The Time-Marginalized Coalescent Prior for Hierarchical Clustering. NIPS 2012: 2978-2986 - [c3]Dilan Görür, Levi Boyles, Max Welling:
Scalable Inference on Kingman's Coalescent using Pair Similarity . AISTATS 2012: 440-448 - 2011
- [c2]Levi Boyles, Anoop Korattikara Balan, Deva Ramanan, Max Welling:
Statistical Tests for Optimization Efficiency. NIPS 2011: 2196-2204 - [c1]Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park:
Statistical Optimization of Non-Negative Matrix Factorization. AISTATS 2011: 128-136
Informal and Other Publications
- 2020
- [i3]Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan:
Self-Supervised Contextual Bandits in Computer Vision. CoRR abs/2003.08485 (2020) - 2018
- [i2]John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu:
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks. CoRR abs/1804.06909 (2018) - 2013
- [i1]James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling:
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation. CoRR abs/1305.2452 (2013)
Coauthor Index
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