- Robust inversion via
semistochastic dimensionality reduction
A. Aravkin,
M. P. Friedlander, and T. van Leeuwen. To appear in Proc. IEEE
Conf. Acoustics, Speech, and Signal Proc. 2012.
- Robust inversion,
dimensionality reduction, and randomized sampling
A. Aravkin,
M. P. Friedlander, F. Herrmann, and T. van Leeuwen. November
2011. To appear in Mathematical Programming
- Fighting the curse of
dimensionality: compressive sensing in exploration seismology
F. J. Herrmann, M. P. Friedlander, and O. Yilmaz. Submitted August
2011. IEEE Signal Processing Magazine, 29(3):88–100, 2012
- Sparse optimization minitutorial (slides)
SIAM Conference on Optimization
(OP11), Darmstadt. May 16-19, 2011
- Hybrid deterministic-stochastic
methods for data fitting
M. P. Friedlander and M. Schmidt. Submitted
April 2011. To appear in SIAM J. Scientific Computing
- Sparse optimization
with least-squares constraints
E. van den Berg and
M. P. Friedlander, SIAM J. on Optimization, 21(4):1201–1229, 2011
- Recovering compressively sampled
signals using partial support information
M. P. Friedlander,
H. Mansour, R. Saab, O. Yilmaz. IEEE Trans. on Information Theory,
2011
- A primal-dual regularized
interior-point method for convex quadratic programs
M. P. Friedlander and D. Orban. Mathematical Programming
Computation, 4(1):71-107, 2012 (submitted September 2010)
- Theoretical and empirical results for
recovery from multiple measurements
E. van den Berg and
M. P. Friedlander, IEEE Trans. on Information Theory, 56(5):2516-2527, 2010
- Optimizing Costly Functions
with Simple Constraints: A Limited-Memory Projected Quasi-Newton
Algorithm
M. Schmidt, E. van den Berg, M. P. Friedlander, and
K. Murphy, Proc. of the 12th Inter. Conf. on Artificial Intelligence
and Statistics (AISTATS) 2009, J. Machine Learning Research, W&CP 5,
April 2009 (received “Best Paper” award)
- Sparco: a testing framework for sparse
reconstruction
E. van den Berg, M. P. Friedlander, G. Hennenfent,
F. Herrmann, R. Saab, and O. Yilmaz, ACM Trans. on Mathematical
Software, 35(4):1-16, February 2009
- Probing the Pareto frontier for
basis pursuit solutions
E. van den Berg and M. P. Friedlander,
SIAM J. on Scientific Computing, 31(2):890-912, November 2008
- Computing nonnegative tensor
factorizations
M. P. Friedlander and K. Hatz, Optimization Methods
and Software, 23(4):631-647, August 2008
- New insights into one-norm
solvers from the Pareto curve
G. Hennenfent, E. van den Berg,
M. P. Friedlander, and F. Herrmann, Geophysics, 73(4):A23-A26, July
2008
- Global and
finite termination of a two-phase augmented Lagrangian filter method
for general quadratic programs
M. P. Friedlander and S. Leyffer,
SIAM J. on Scientific Computing, 30(4):1706-1726, April 2008
- Discussion: The Dantzig
selector: Statistical estimation when p is much larger than n
M. P. Friedlander and M. A. Saunders, Annals of Statistics,
35(6):2385-2391, December 2007
- Exact regularization of convex
programs
M. P. Friedlander and P. Tseng, SIAM J. on Optimization,
18(4):1326-1350, November 2007
- A filter active-set
trust-region method
M. P. Friedlander, N. I. M. Gould, S. Leyffer,
and T. S. Munson, Preprint ANL/MCS-P1456-0907, Argonne National
Laboratory, September 2007
- In pursuit of a root
E. van den Berg
and M. P. Friedlander, Tech. Rep. TR-2007-19, Dept of Computer
Science, Univ of British Columbia, June 2007
- Diffuse optical
fluorescence tomography using time-resolved data acquired in
transmission
F. Leblond, S. Fortier, and M. P. Friedlander, In
Fred S. Azar, editor, Multimodal Biomedical Imaging II,
vol. 6431. Proceedings of the International Society of Optimal
Imaging, February 2007
- On minimizing
distortion and relative entropy
M. P. Friedlander and M. R. Gupta,
IEEE Transactions on Information Theory, 52(1):238-245, January 2006
- Exact regularization of linear
programs
M. P. Friedlander, Tech. Rep. TR-2005-31, Dept of
Computer Science, Univ of British Columbia, December 2005
- A two-sided
relaxation scheme for mathematical programs with equilibrium
constraints
A.-V. DeMiguel, M. P. Friedlander, F. J. Nogales, and
S. Scholtes, SIAM J. on Optimization, 16(1):587-609, 2005
- A globally
convergent linearly constrained Lagrangian methods for nonlinear
optimization
M. P. Friedlander and M. A. Saunders, SIAM J. on
Optimization 15(3), 863-897, 2005
- Maximum entropy
classification applied to speech
M. R. Gupta, M. P. Friedlander,
and R. M. Gray, In Conference Record of the Thirty-Fourth Asilomar
Conference on Signals, Systems and Computers, vol. 2, 1480-1483,
October 2000
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