Unit

Adaptive Systems Laboratory

Laboratory

Related publications (1,000)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Adaptive Systems Laboratory

Graph Chatbot

Chat with Graph Search

Distributional Regression and Autoregression via Optimal Transport

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Discovering Influencers in Opinion Formation Over Social Graphs

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Maximum Independent Set: Self-Training through Dynamic Programming

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Privatized graph federated learning

Distributional Regression and Autoregression via Optimal Transport

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Maximum Independent Set: Self-Training through Dynamic Programming

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Discovering Influencers in Opinion Formation Over Social Graphs

Privatized graph federated learning