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08/24/2022
Robust Motion Averaging for Multi-view Registration of Point Sets Based Maximum Correntropy Criterion
As an efficient algorithm to solve the multi-view registration problem,t...
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02/25/2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesi...
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09/20/2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Multi-task regression attempts to exploit the task similarity in order t...
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06/03/2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems
The demand of probabilistic time series forecasting has been recently ra...
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02/03/2021
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks
In remote regions (e.g., mountain and desert), cellular networks are usu...
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12/01/2020
Statistical patterns of word frequency suggesting the probabilistic nature of human languages
Traditional linguistic theories have largely regard language as a formal...
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08/29/2020
Modulating Scalable Gaussian Processes for Expressive Statistical Learning
For a learning task, Gaussian process (GP) is interested in learning the...
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05/18/2020
Deep Latent-Variable Kernel Learning
Deep kernel learning (DKL) leverages the connection between Gaussian pro...
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09/14/2019
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods
Gaussian process classification (GPC) provides a flexible and powerful s...
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11/10/2018
Anomaly Detection via Graphical Lasso
Anomalies and outliers are common in real-world data, and they can arise...
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11/03/2018
Large-scale Heteroscedastic Regression via Gaussian Process
Heteroscedastic regression which considers varying noises across input d...
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11/03/2018
Understanding and Comparing Scalable Gaussian Process Regression for Big Data
As a non-parametric Bayesian model which produces informative predictive...
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07/05/2018
Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation
Zipf's law has been found in many human-related fields, including langua...
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07/03/2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs
The vast quantity of information brought by big data as well as the evol...
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06/03/2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
In order to scale standard Gaussian process (GP) regression to large-sca...
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09/15/2015
Dependency length minimization: Puzzles and Promises
In the recent issue of PNAS, Futrell et al. claims that their study of 3...
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09/03/2015
The influence of Chunking on Dependency Crossing and Distance
This paper hypothesizes that chunking plays important role in reducing d...
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12/30/2011