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Papers
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors
ACL 2019
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
AISTATS 2018
Boosting Variational Inference: an Optimization Perspective
AISTATS 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model
AISTATS 2018
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
NeurIPS 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
NeurIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NeurIPS 2018
Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models
COLT 2018
Learning a Mixture of Two Multinomial Logits
ICML 2018
Mixture of GANs for Clustering
IJCAI 2018
pomegranate: Fast and Flexible Probabilistic Modeling in Python
JMLR 2018
Probabilistic preference learning with the Mallows rank model
JMLR 2018
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams
Interspeech 2018
Sequence to Sequence Mixture Model for Diverse Machine Translation
CoNLL 2018
The Search Problem in Mixture Models
JMLR 2018
Topological mixture estimation
ICML 2018
Tree-based Bayesian Mixture Model for Competing Risks
AISTATS 2018
VAE with a VampPrior
AISTATS 2018
Variational inference for the multi-armed contextual bandit
AISTATS 2018
Variational Memory Encoder-Decoder
NeurIPS 2018
AdaGAN: Boosting Generative Models
NeurIPS 2017
Clustering with Hidden Markov Model on Variable Blocks
JMLR 2017
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing
Interspeech 2017
Deep Activation Mixture Model for Speech Recognition
Interspeech 2017
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation
CVPR 2017