no code implementations • NeurIPS 2021 • Dominic Richards, Sahand N. Negahban, Patrick Rebeschini
Motivated by distributed machine learning settings such as Federated Learning, we consider the problem of fitting a statistical model across a distributed collection of heterogeneous data sets whose similarity structure is encoded by a graph topology.
1 code implementation • 2 Jan 2019 • Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
We investigate the feasibility of learning from a mix of both fully-labeled supervised data and contextual bandit data.
no code implementations • 3 Oct 2014 • Yu Lu, Sahand N. Negahban
In recent years rank aggregation has received significant attention from the machine learning community.