research
∙
08/03/2023
Bag of Policies for Distributional Deep Exploration
Efficient exploration in complex environments remains a major challenge ...
share
research
∙
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...
research
∙
06/10/2022
Meta Optimal Transport
We study the use of amortized optimization to predict optimal transport ...
research
∙
02/02/2022
Heterogeneous manifolds for curvature-aware graph embedding
Graph embeddings, wherein the nodes of the graph are represented by poin...
research
∙
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...
research
∙
07/29/2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
The Generative Adversarial Networks (GAN) framework is a well-establishe...
research
∙
06/22/2020
Aligning Time Series on Incomparable Spaces
Dynamic time warping (DTW) is a useful method for aligning, comparing an...
research
∙
06/17/2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
We study the Stein Variational Gradient Descent (SVGD) algorithm, which ...
research
∙
02/07/2020
Wasserstein Proximal Gradient
We consider the task of sampling from a log-concave probability distribu...
research
∙
05/30/2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
We present a novel algorithm to estimate the barycenter of arbitrary pro...
research
∙
03/02/2019
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
We study the interplay between surrogate methods for structured predicti...
research
∙
05/30/2018