indian buffet process

Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA ICLR 2025 Nonparametric Bayesian inference of item-level features in classifier combination UAI 2025 Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization ICML 2024 Streaming Inference for Infinite Feature Models ICML 2022 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021 Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 Non-exchangeable feature allocation models with sublinear growth of the feature sizes AISTATS 2020 The Indian Chefs Process UAI 2020 Discovering Latent Covariance Structures for Multiple Time Series ICML 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018 A Birth-Death Process for Feature Allocation ICML 2017 Latent Feature Lasso ICML 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 Learning The Structure of Deep Convolutional Networks ICCV 2015 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014 Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Scaling the Indian Buffet Process via Submodular Maximization ICML 2013