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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NIPS 2018
A Reduction for Efficient LDA Topic Reconstruction NIPS 2018
Learning latent variable structured prediction models with Gaussian perturbations NIPS 2018
Proximal Graphical Event Models NIPS 2018
Factorial Modeling for Effective Suppression of Directional Noise INTERSPEECH 2017
Gain Compensation for Fast i-Vector Extraction Over Short Duration INTERSPEECH 2017
Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares INTERSPEECH 2017
An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction INTERSPEECH 2017
Named Entity Recognition in the Medical Domain with Constrained CRF Models EACL 2017
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017
Improving Semantic Composition with Offset Inference ACL 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
Exact MAP Inference by Avoiding Fractional Vertices ICML 2017
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017
Post-Inference Prior Swapping ICML 2017
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017
Ordinal Graphical Models: A Tale of Two Approaches ICML 2017
Learning Determinantal Point Processes with Moments and Cycles ICML 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
Exact Inference for Integer Latent-Variable Models ICML 2017
Tensor Belief Propagation ICML 2017