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Adaptive Systems Laboratory

Laboratory

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Publications related to Adaptive Systems Laboratory | EPFL Graph Search

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

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Discovering Influencers in Opinion Formation Over Social Graphs

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Maximum Independent Set: Self-Training through Dynamic Programming

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Impact of Redundancy on Resilience in Distributed Optimization and Learning

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

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

Privatized graph federated learning