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03/13/2023
Kernel Density Bayesian Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) is a powerful framework to infer an...
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10/15/2021
Multi-group Gaussian Processes
Gaussian processes (GPs) are pervasive in functional data analysis, mach...
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10/06/2021
Nested Policy Reinforcement Learning
Off-policy reinforcement learning (RL) has proven to be a powerful frame...
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06/02/2021
Spectral embedding for dynamic networks with stability guarantees
We consider the problem of embedding a dynamic network, to obtain time-e...
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03/22/2021
Neural Lumigraph Rendering
Novel view synthesis is a challenging and ill-posed inverse rendering pr...
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02/12/2021
Contrastive latent variable modeling with application to case-control sequencing experiments
High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools...
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12/14/2020
Probabilistic Contrastive Principal Component Analysis
Dimension reduction is useful for exploratory data analysis. In many app...
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07/20/2020
