- Benefits of over-parametrization with EM
J. Xu, D. Hsu, A. Maleki, Neural Information Processing and Systems (NIPS), 2018.
- Approximate leave-one-out for fast parameter tuning in high-dimension
S. Wang, W. Zhou, H. Lu, A. Maleki, V. Mirrokni, International Conference on Machine Learning (ICML), 2018.
- Approximate message passing for amplitude-based optimization
J. Ma, J. Xu, A. Maleki, International Conference on Machine Learning (ICML), 2018.
- Compressive phase retrieval for structured signals
M. Bakhshizadeh, A. Maleki, S. Jalali, International Symposium on Information Theory (ISIT), 2018.
- VLSI design of a nonprametric equalizer for massive MU-MIMO
C. Jeon, G. Mirza, R. Ghods, A. Maleki, C. Studer, Asilomar Conference on Signals, Systems, and Computers, 2017.
- Optimally-tuned nonparametric linear equalization for massive MU-MIMO
R. Ghods, C. Jeon, G. Mirza, A. Maleki, C. Studer, International Symposium on Information Theory, 2017.
- Global analysis of expectation maximization for mixtures of two Gaussians
J. Xu, D. Hsu, A. Maleki, Neural Information Processing and Systems (NIPS), 2016 [Oral presentation].
- BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
C. Metzler, A. Maleki, R. Baraniuk, IEEE International Conference Image Processing (ICIP), 2016.
- An $\ell_p$-based reconstruction algorithm for compressed sensing radar imaging
L. Zheng, A. Maleki, Q. Liu, X. Wang, X. Yang, Radar Conference, 2016.
- Phase transition and noise sensitivity of $\ell_p$-minimization for $0 \leq p \leq 1$
Weng, H., Zheng, L., Maleki, A., X. Wang, IEEE International Symposium on Information Theory (ISIT), 2016.
- On the performance of mismatched data detection in large MIMO systems
C. Jeon, A. Maleki, A., C. Studer, IEEE International Symposium on Information Theory (ISIT), 2016.
- Optimality of large MIMO detection via approximate message passing
C. Jeon, R. Ghods, A. Maleki, A., C. Studer, IEEE International Symposium on Information Theory (ISIT), 2015.
- Optimal large-MIMO data detection with transmit impairments
C. Jeon, R. Ghods, A. Maleki, A., C. Studer, Allerton Conference Communication, Control, and Computing, 2015.
- BM3D-AMP: A new image recovery algorithm based on BM3D denoising
C. Metzler, A. Maleki, R. Baraniuk, IEEE International Conference Image Processing (ICIP), 2015.
- Does $\ell_p$-minimization outperform $\ell_1$-minimization?
L. Zheng, A. Maleki, X. Wang, T. Long, SPARS, 2015.
- Optimal recovery from compressive measurements via denoising-based approximate message passing
C. Metzler, A. Maleki, R. Baraniuk, Sampling Theory and Applications, 2015.
- Maximin analysis of message passing for recovering group sparse signals
A. Taeb, A. Maleki, C. Studer, R. Baraniuk, SPARS 2013.
- Iterative thresholding algorithms for sparse inverse covariance estimation
D. Guillot, B. Rajaratnam, B. Rolfs, A. Maleki, I. Wong, Neural information processing and systems (NIPS), 2013.
- From compression to compressed sensing: analog signals
S. Jalali, A. Maleki, Work. Struc. Parc. Rep. Adap. Signaux (SPARS), 2013.
- Minimum complexity pursuit
S. Jalali, A. Maleki, R. Baraniuk, Allerton Conf. Communication, Control, and Computing, 2013.
- Compressed sensing CFAR radar
L. Anitori, A. Maleki, M. Otten, R. Baraniuk, P. Hoogeboom, IEEE RADARCON, 2012.
- CS radar imaging via adaptive CAMP
L. Anitori, A. Maleki, M. Otten, R. Baraniuk, P. Hoogeboom, European Conference Synthetic Aperture Radar, 2012.
- Least favorable compressed sensing problems for first-order methods
A. Maleki, R. G. Baraniuk, IEEE International Symposium on Information Theory (ISIT), 2011.
- Analysis of approximate message passing algorithm
A. Maleki, A. Montanari, IEEE Conference Information Sciences and Systems (CISS), 2010. [invited]
- Message passing algorithms for compressed sensing, part 1: motivation and construction*
D. Donoho, A. Maleki, and A. Montanari, Information Theory Workshop (ITW), 2010. [invite].
- Message passing algorithms for compressed sensing, part 2: analysis and validation*
D. Donoho, A. Maleki, and A. Montanari, Information Theory Workshop (ITW), 2010. [invited]
- Coherence analysis of iterative thresholding algorithms
A. Maleki, Allerton Conference Communication, Control, and Computing, 2009. [arxiv]
- Phase transition of iterative thresholding algorithms
A. Maleki and D. Donoho, SPARS, 2009.
- A solution to the drawbacks of spectral clustering
N. Asgharbeigi and A. Maleki, IEEE International Conference Pattern Recognition (ICPR), 2008.
- Coherent and Heterogeneous approach for clustering
A. Maleki, N. Asgharbeigi, IEEE Artificial Intelligence and Pattern Recognition (AIPR), 2008.
- Near-optimal coder for image geometries
A. Maleki, M. Shahram, G. Carlsson, IEEE International Conference Image Processing (ICIP), 2008. [You may find details here].
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