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All publications by Volkan Cevher
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A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc T. Dinh and Volkan Cevher
Advances in Neural Information Processing Systems 28, 2015


Preconditioned Spectral Descent for Deep Learning
David E. Carlson, Edo Collins, Ya-ping Hsieh, Lawrence Carin and Volkan Cevher
Advances in Neural Information Processing Systems 28, 2015


Constrained convex minimization via model-based excessive gap
Quoc Tran-dinh and Volkan Cevher
Advances in Neural Information Processing Systems 27, 2014


Time--Data Tradeoffs by Aggressive Smoothing
John J. Bruer, Joel A. Tropp, Volkan Cevher and Stephen Becker
Advances in Neural Information Processing Systems 27, 2014


A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
Quoc T. Dinh, Anastasios Kyrillidis and Volkan Cevher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher and Christoph Koch
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


High-Dimensional Gaussian Process Bandits
Josip Djolonga, Andreas Krause and Volkan Cevher
Advances in Neural Information Processing Systems 26, 2013


Active Learning of Multi-Index Function Models
Tyagi Hemant and Volkan Cevher
Advances in Neural Information Processing Systems 25, 2012


Submodular Dictionary Selection for Sparse Representation
Andreas Krause and Volkan Cevher
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning with Compressible Priors
Volkan Cevher
Advances in Neural Information Processing Systems 22, 2009


Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde and Richard Baraniuk
Advances in Neural Information Processing Systems 21, 2008