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07/20/2023
On Combining Expert Demonstrations in Imitation Learning via Optimal Transport
Imitation learning (IL) seeks to teach agents specific tasks through exp...
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03/24/2023
Optimal Transport for Offline Imitation Learning
With the advent of large datasets, offline reinforcement learning (RL) i...
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07/11/2022
Matching Normalizing Flows and Probability Paths on Manifolds
Continuous Normalizing Flows (CNFs) are a class of generative models tha...
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06/10/2022
Meta Optimal Transport
We study the use of amortized optimization to predict optimal transport ...
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10/07/2021
Cross-Domain Imitation Learning via Optimal Transport
Cross-domain imitation learning studies how to leverage expert demonstra...
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06/18/2021
Riemannian Convex Potential Maps
Modeling distributions on Riemannian manifolds is a crucial component in...
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02/14/2021
Sliced Multi-Marginal Optimal Transport
We study multi-marginal optimal transport, a generalization of optimal t...
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02/14/2021
Healing Products of Gaussian Processes
Gaussian processes (GPs) are nonparametric Bayesian models that have bee...
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02/08/2021
Correlated Bandits for Dynamic Pricing via the ARC algorithm
The Asymptotic Randomised Control (ARC) algorithm provides a rigorous ap...
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07/14/2020
Estimating Barycenters of Measures in High Dimensions
Barycentric averaging is a principled way of summarizing populations of ...
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06/22/2020
Aligning Time Series on Incomparable Spaces
Dynamic time warping (DTW) is a useful method for aligning, comparing an...
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06/18/2019
