We’re interested in machine learning, optimization algorithms and text understanding, as well as several application domains.
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication2019-06-09. International Conference on Machine Learning, Long Beach, California, USA, 9-15 June 2019.
CoCoA: A General Framework for Communication-Efficient Distributed OptimizationJournal Of Machine Learning Research. 2018-01-01. Vol. 18.
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
On the Global Linear Convergence of Frank-Wolfe Optimization Variants.2015. Neural Information Processing Systems (NIPS) 2015, Montreal, Quebec, Canada, December 7-12, 2015. p. 496-504.
Adding vs. Averaging in Distributed Primal-Dual Optimization.2015. International Conference on Machine Learning (ICML) 2015, Lille, France, 6-11 July 2015. p. 1973-1982.
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization.2013. International Conference on Machine Learning (ICML) 2013, Atlanta, GA, USA, 16-21 June 2013. p. 427-435.
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs2013. International Conference on Machine Learning (ICML) 2013, Atlanta, GA, USA, 16-21 June 2013. p. 53-61.
Regularization Paths with Guarantees for Convex Semidefinite Optimization.2012. International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, La Palma, Canary Islands, April 21-23, 2012. p. 432-439.
Convex Optimization without Projection Steps
Approximating Parameterized Convex Optimization ProblemsEuropean Symposia on Algorithms (ESA) 2010; Springer Berlin Heidelberg, 2010. p. 524-535.
A Combinatorial Algorithm to Compute Regularization Paths