| Efficient inference for dynamic topic modeling with large vocabularies. | 0 | 0.34 | 2022 |
| Black-Box Density Function Estimation Using Recursive Partitioning | 0 | 0.34 | 2021 |
| Modulating Surrogates for Bayesian Optimization | 0 | 0.34 | 2020 |
| Stochastic Variational Inference for Dynamic Correlated Topic Models | 0 | 0.34 | 2020 |
| Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes | 0 | 0.34 | 2020 |
| Model Selection for Production System via Automated Online Experiments | 0 | 0.34 | 2020 |
| Meta-Surrogate Benchmarking for Hyperparameter Optimization. | 0 | 0.34 | 2019 |
| STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. | 0 | 0.34 | 2019 |
| A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant | 0 | 0.34 | 2019 |
| Variational Information Distillation For Knowledge Transfer | 12 | 0.79 | 2019 |
| Intrinsic Gaussian processes on complex constrained domains | 1 | 0.35 | 2018 |
| Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. | 0 | 0.34 | 2018 |
| Structured Variationally Auto-encoded Optimization. | 0 | 0.34 | 2018 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. | 5 | 0.42 | 2017 |
| Preferential Bayesian Optimization. | 0 | 0.34 | 2017 |
| Auto-Differentiating Linear Algebra. | 0 | 0.34 | 2017 |
| Efficient Inference for Sparse Latent Variable Models of Transcriptional Regulation. | 0 | 0.34 | 2017 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model. | 0 | 0.34 | 2016 |
| Recurrent Gaussian Processes | 0 | 0.34 | 2016 |
| Data-Driven Detection of Prominent Objects. | 5 | 0.43 | 2016 |
| Batch Bayesian Optimization via Local Penalization. | 0 | 0.34 | 2016 |
| Variational Auto-encoded Deep Gaussian Processes | 0 | 0.34 | 2016 |
| Variational Auto-encoded Deep Gaussian Processes | 21 | 0.78 | 2015 |
| Spike and Slab Gaussian Process Latent Variable Models | 1 | 0.35 | 2015 |
| Recurrent Gaussian Processes | 0 | 0.34 | 2015 |
| GP-select: Accelerating EM using adaptive subspace preselection. | 2 | 0.36 | 2014 |
| Gaussian Process Models with Parallelization and GPU acceleration. | 8 | 0.51 | 2014 |
| Autonomous Document Cleaning - A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts. | 6 | 0.51 | 2014 |
| What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. | 1 | 0.35 | 2013 |
| Unsupervised learning of translation invariant occlusive components | 4 | 0.38 | 2012 |
| Autonomous cleaning of corrupted scanned documents — A generative modeling approach | 3 | 0.38 | 2012 |
| Pose estimation from reflections for specular surface recovery | 6 | 0.44 | 2011 |
| Specular surface recovery from reflections of a planar pattern: Undergoing an unknown pure translation | 6 | 0.41 | 2010 |
| Polygonal light source estimation | 7 | 0.47 | 2009 |
| Understanding research field evolving and trend with dynamic Bayesian networks | 5 | 0.46 | 2007 |
