 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical
Representation LearningNeural Information Processing Systems (NeurIPS), 2022 |
 Variational Combinatorial Sequential Monte Carlo Methods for Bayesian
Phylogenetic InferenceConference on Uncertainty in Artificial Intelligence (UAI), 2021 |
 Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric
ApproachPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019 |
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 Hierarchical Adaptive Structural SVM for Domain AdaptationInternational Journal of Computer Vision (IJCV), 2014 |
 Bayesian Multitask Learning with Latent HierarchiesConference on Uncertainty in Artificial Intelligence (UAI), 2009 |
 Reconstructing Native Language Typology from Foreign Language UsageConference on Computational Natural Language Learning (CoNLL), 2014 |
 Efficient Continuous-Time Markov Chain EstimationInternational Conference on Machine Learning (ICML), 2013 |
 Top-down particle filtering for Bayesian decision treesInternational Conference on Machine Learning (ICML), 2013 |
 A Note on Probabilistic Models over Strings: the Linear Algebra ApproachBulletin of Mathematical Biology (BMB), 2013 |
 Ancestor Sampling for Particle GibbsNeural Information Processing Systems (NeurIPS), 2012 |
 Unfolding Latent Tree Structures using 4th Order TensorsInternational Conference on Machine Learning (ICML), 2012 |
 Multiresolution Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2012 |
 The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric
Prior for Latent FeaturesConference on Uncertainty in Artificial Intelligence (UAI), 2008 |
 Bayesian Rose TreesConference on Uncertainty in Artificial Intelligence (UAI), 2010 |
 Pitman-Yor Diffusion TreesConference on Uncertainty in Artificial Intelligence (UAI), 2011 |
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