An Explicit Convergence Rate for Nesterov's Method from SDP

no code implementations • 13 Jan 2018 • Sam Safavi, Bikash Joshi, Guilherme França, José Bento

The framework of Integral Quadratic Constraints (IQC) introduced by Lessard et al. (2014) reduces the computation of upper bounds on the convergence rate of several optimization algorithms to semi-definite programming (SDP).

An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges

no code implementations • 22 May 2017 • Bikash Joshi, Franck Iutzeler, Massih-Reza Amini

In many distributed learning problems, the heterogeneous loading of computing machines may harm the overall performance of synchronous strategies.

Binary Classification General Classification +1

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification

1 code implementation • NeurIPS 2017 • Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov

We address the problem of multi-class classification in the case where the number of classes is very large.

Binary Classification General Classification +3