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08/03/2023
Bag of Policies for Distributional Deep Exploration
Efficient exploration in complex environments remains a major challenge ...
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02/06/2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Message Passing Neural Networks (MPNNs) are instances of Graph Neural Ne...
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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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02/02/2022
Heterogeneous manifolds for curvature-aware graph embedding
Graph embeddings, wherein the nodes of the graph are represented by poin...
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09/16/2021
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
Reinforcement Learning (RL) is emerging as tool for tackling complex con...
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07/29/2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
The Generative Adversarial Networks (GAN) framework is a well-establishe...
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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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06/17/2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
We study the Stein Variational Gradient Descent (SVGD) algorithm, which ...
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02/07/2020
Wasserstein Proximal Gradient
We consider the task of sampling from a log-concave probability distribu...
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05/30/2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
We present a novel algorithm to estimate the barycenter of arbitrary pro...
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03/02/2019
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
We study the interplay between surrogate methods for structured predicti...
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05/30/2018
