PublicationsZ. Fan, Y. Sun, M. P. Friedlander. Bundle methods for dual atomic pursuit. arXiv:1910.13650, 2019 Y. Sun, M. P. Friedlander. One-shot atomic detection. IEEE Intern. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 H. Fang, M. Cheng, C.-J. Hsieh, M. P. Friedlander. Fast training for large-scale one-versus-all linear classifiers using tree-structured initialization. SIAM Intern. Conf. Data Mining (SDM19), 2019 A. Y. Aravkin, J. V. Burke, D. Drusvyatskiy, M. P. Friedlander, S. Roy. Level-set methods for convex optimization. Mathematical Programming, 174(1-2):359-390, 2019 M. P. Friedlander, I. Macêdo, T.K. Pong. Polar convolution. SIAM J. Optimization 29(2):1366-1391, 2019 R. Estrin, M. P. Friedlander, D. Orban, M. A. Saunders. Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. arXiv:1910.04300, 2019 R. Estrin, M. P. Friedlander, D. Orban, M. A. Saunders. Implementing a smooth exact penalty function for constrained nonlinear optimization. 2019 B. Sepehry, E. Iranmanesh, M. P. Friedlander, P. Ronagh. Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. 2018 A. Y. Aravkin, J. V. Burke, D. Drusvyatskiy, M. P. Friedlander, K. MacPhee. Foundations of gauge and perspective duality. SIAM J. Optimimization, 28(3):2406-2434, 2018 R. Estrin, M. P. Friedlander. A perturbation view of level-set methods for convex optimization. 2018 M. P. Friedlander, G. Goh. Efficient evaluation of scaled proximal operators. Electronic Trans. Numerical Analysis, 46:1–22, 2017 G. Goh, A. Cotter, M. Gupta, M. P. Friedlander. Satisfying Real-world Goals with Dataset Constraints. NIPS, 2016 M. P. Friedlander, N. Krislock, T. K. Pong. Social Resistance. IEEE Computing in Science and Engineering and Computing Edge, 2016 M. P. Friedlander, I. Macêdo. Low-rank spectral optimization via gauge duality. SIAM J. Scientific Computing, 38(3):A1616-A1638, 2016 J. Nutini, M. Schmidt, I. H. Laradji, M. P. Friedlander, H. Koepke. Coordinate descent converges faster with the Gauss-Southwell rule than random selection. ICML, 2015 M. P. Friedlander, I. Macêdo, T. K. Pong. Gauge optimization and duality. SIAM J. Optimization, 24(4):1999-2022, 2014 A. Aravkin, J. V. Burke, M. P. Friedlander. Variational properties of value functions. SIAM J. Optimization, 23(3):1689-1717, 2013 M. E. Khan, A. Y. Aravkin, M. P. Friedlander, M. Seeger. Fast dual variational inference for non-conjugate latent gaussian models. ICML, 2013 M. P. Friedlander, M. Schmidt. Hybrid deterministic-stochastic methods for data fitting. SIAM J. Scientific Computing, 34(3):A1380–A1405, 2012 M. P. Friedlander, D. Orban. A primal-dual regularized interior-point method for convex quadratic programs. Mathematical Programming Computation, 4(1):71–107, 2012 F. J. Herrmann, M. P. Friedlander, Ö. Yılmaz. Fighting the curse of dimensionality: compressive sensing in exploration seismology. IEEE Signal Processing Magazine, 29(3):88--100, 2012 A. Aravkin, M. P. Friedlander, T. van Leeuwen. Robust inversion via semistochastic dimensionality reduction. ICASSP, 2012 A. Aravkin, M. P. Friedlander, F. Herrmann, T. van Leeuwen. Robust inversion, dimensionality reduction, and randomized sampling. Mathematical Programming, 134(1):101-125, 2012, 2012 E. van den Berg, M. P. Friedlander. Sparse optimization with least-squares constraints. SIAM J. Optimization, 21(4):1201–1229, 2011 M. P. Friedlander, H. Mansour, R. Saab, Ö. Yılmaz. Recovering compressively sampled signals using partial support information. IEEE Trans. Info. Theory, 58(2):1122-1134, 2011 E. van den Berg, M. P. Friedlander. Theoretical and empirical results for recovery from multiple measurements. IEEE Trans. Info. Theory, 56(5):2516-2527, 2011 E. van den Berg, M. P. Friedlander. Probing the Pareto frontier for basis pursuit solutions. SIAM J. Scientific Computing, 31(2):890-912, 2009 M. Schmidt, E. van den Berg, M. P. Friedlander, K. Murphy. Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. Proc 12th Intern. Conf. AISTATS, 2009 E. van den Berg, M. P. Friedlander, G. Hennenfent, F. Herrmann, R. Saab, Ö. Yılmaz. Sparco: a testing framework for sparse reconstruction. ACM Trans. Math. Software, 35(4):1-16, 2009 M. P. Friedlander, K. Hatz. Computing nonnegative tensor factorizations. Optimization Methods and Software, 23(4):631-647, 2008 G. Hennenfent, E. van den Berg, M. P. Friedlander, F. Herrmann. New insights into one-norm solvers from the Pareto curve. Geophysics, 73(4):A23--A26, 2008 M. P. Friedlander, S. Leyffer. Global and finite termination of a two-phase augmented Lagrangian filter method for general quadratic programs. SIAM J. Scientific Computing, 30(4):1706-1726, 2008 M. P. Friedlander, M. A. Saunders. Discussion: The Dantzig selector: Statistical estimation when p is much larger than n. Annals of Statistics, 35(6):2385-2391, 2007 M. P. Friedlander, P. Tseng. Exact regularization of convex programs. SIAM J. Optimization, 18(4):1326-1350, 2007 M. P. Friedlander, N. I. M. Gould, S. Leyffer, T. S. Munson. A filter active-set trust-region method. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, 2007 E. van den Berg, M. P. Friedlander. In pursuit of a root. Tech. Rep. TR-2007-19, Dept. of Computer Science, UBC, 2007 F. Leblond, S. Fortier, M. P. Friedlander. Diffuse optical fluorescence tomography using time-resolved data acquired in transmission. Multimodal Biomedical Imaging II, vol. 6431. Proceedings of the International Society of Optimal Imaging, 2007 M. P. Friedlander, M. R. Gupta. On minimizing distortion and relative entropy. IEEE Trans. on Info. Theory, 52(1):238--245, 2006 V. Demiguel, M. P. Friedlander, F. J. Nogales, S. Scholtes. A two-sided relaxation scheme for mathematical programs with equilibrium constraints. SIAM J. Optimization, 16(1):587-609, 2005 M. P. Friedlander. Exact regularization of linear programs. Tech. Rep. TR-2005-31, Dept. of Computer Science, UBC, 2005 M. P. Friedlander, M. A. Saunders. A globally convergent linearly constrained Lagrangian method for nonlinear optimization. SIAM J. Optimization 15(3), 863–897, 2005 M. R. Gupta, M. P. Friedlander, R. M. Gray. Maximum entropy classification applied to speech. In Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers, 2000 Selected TalksPolar Duality in three liftings, McGill University, Montreal. November 28, 2017Algorithms for sparse optimization, Google Research, Mountain View. May 19, 2015Robust inversion and randomized sampling, International Symposium on Mathematical Programming (ISMP), Berlin. August 23, 2012