Michael P. Friedlander

According to our database1, Michael P. Friedlander authored at least 39 papers between 2005 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 



On csauthors.net:


Online mirror descent and dual averaging: keeping pace in the dynamic case.
CoRR, 2020

Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Polar Convolution.
SIAM J. Optim., 2019

Level-set methods for convex optimization.
Math. Program., 2019

Polar Alignment and Atomic Decomposition.
CoRR, 2019

Implementing a smooth exact penalty function for general constrained nonlinear optimization.
CoRR, 2019

Implementing a smooth exact penalty function for equality-constrained nonlinear optimization.
CoRR, 2019

Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

One-shot atomic detection.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Foundations of Gauge and Perspective Duality.
SIAM J. Optim., 2018

Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers.
CoRR, 2018

Low-Rank Spectral Optimization via Gauge Duality.
SIAM J. Scientific Computing, 2016

Social Resistance.
Comput. Sci. Eng., 2016

Efficient evaluation of scaled proximal operators.
CoRR, 2016

Satisfying Real-world Goals with Dataset Constraints.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Low-rank spectral optimization.
CoRR, 2015

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Gauge Optimization and Duality.
SIAM J. Optim., 2014

Erratum: Hybrid Deterministic-Stochastic Methods for Data Fitting.
SIAM J. Scientific Computing, 2013

Variational Properties of Value Functions.
SIAM J. Optim., 2013

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

Recovering Compressively Sampled Signals Using Partial Support Information.
IEEE Trans. Inf. Theory, 2012

Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology.
IEEE Signal Process. Mag., 2012

Hybrid Deterministic-Stochastic Methods for Data Fitting.
SIAM J. Scientific Computing, 2012

A primal-dual regularized interior-point method for convex quadratic programs.
Math. Program. Comput., 2012

Robust inversion, dimensionality reduction, and randomized sampling.
Math. Program., 2012

Robust inversion via semistochastic dimensionality reduction.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparse Optimization with Least-Squares Constraints.
SIAM J. Optim., 2011

Theoretical and empirical results for recovery from multiple measurements.
IEEE Trans. Inf. Theory, 2010

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.
ACM Trans. Math. Softw., 2009

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Joint-sparse recovery from multiple measurements
CoRR, 2009

Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs.
SIAM J. Scientific Computing, 2008

Probing the Pareto Frontier for Basis Pursuit Solutions.
SIAM J. Scientific Computing, 2008

Computing non-negative tensor factorizations.
Optimization Methods and Software, 2008

Exact Regularization of Convex Programs.
SIAM J. Optim., 2007

On minimizing distortion and relative entropy.
IEEE Trans. Inf. Theory, 2006

A Globally Convergent Linearly Constrained Lagrangian Method for Nonlinear Optimization.
SIAM J. Optim., 2005

A two-sided relaxation scheme for Mathematical Programs with Equilibrium Constraints.
SIAM J. Optim., 2005