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06/20/2022
Additive Gaussian Processes Revisited
Gaussian Process (GP) models are a class of flexible non-parametric mode...
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09/01/2021
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
In this paper, we propose a Spatial Robust Mixture Regression model to i...
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07/18/2020
Structure Mapping for Transferability of Causal Models
Human beings learn causal models and constantly use them to transfer kno...
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05/24/2020
Causal Bayesian Optimization
This paper studies the problem of globally optimizing a variable of inte...
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10/31/2018
On Exploration, Exploitation and Learning in Adaptive Importance Sampling
We study adaptive importance sampling (AIS) as an online learning proble...
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06/25/2018
Inference Trees: Adaptive Inference with Exploration
We introduce inference trees (ITs), a new class of inference methods tha...
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09/14/2016
Relativistic Monte Carlo
Hamiltonian Monte Carlo (HMC) is a popular Markov chain Monte Carlo (MCM...
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05/23/2016
