conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

Interpretable Word Embeddings via Informative Priors IJCNLP 2019
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function INTERSPEECH 2019
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery INTERSPEECH 2019
Bayesian HMM Based x-Vector Clustering for Speaker Diarization INTERSPEECH 2019
Meta Learning for Hyperparameter Optimization in Dialogue System INTERSPEECH 2019
ViVoLAB Speaker Diarization System for the DIHARD 2019 Challenge INTERSPEECH 2019
Robust Bayesian and Light Neural Networks for Voice Spoofing Detection INTERSPEECH 2019
A Unified Bayesian Source Modelling for Determined Blind Source Separation INTERSPEECH 2019
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition INTERSPEECH 2019
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition INTERSPEECH 2019
Connecting and Comparing Language Model Interpolation Techniques INTERSPEECH 2019
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification INTERSPEECH 2019
VAE-Based Regularization for Deep Speaker Embedding INTERSPEECH 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition INTERSPEECH 2019
Variational Domain Adversarial Learning for Speaker Verification INTERSPEECH 2019
CNN-LSTM Models for Multi-Speaker Source Separation Using Bayesian Hyper Parameter Optimization INTERSPEECH 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019
Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019
Prediction Risk for the Horseshoe Regression JMLR 2019
Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees JMLR 2019
Dependent relevance determination for smooth and structured sparse regression JMLR 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019