Maxim Raginsky
Maxim Raginsky
Associate Professor of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
Verified email at - Homepage
TitleCited byYear
Locality-sensitive binary codes from shift-invariant kernels
M Raginsky, S Lazebnik
Advances in neural information processing systems, 1509-1517, 2009
Supervised learning of quantizer codebooks by information loss minimization
S Lazebnik, M Raginsky
IEEE transactions on pattern analysis and machine intelligence 31 (7), 1294-1309, 2008
Compressed sensing performance bounds under Poisson noise
M Raginsky, RM Willett, ZT Harmany, RF Marcia
IEEE Transactions on Signal Processing 58 (8), 3990-4002, 2010
Concentration of measure inequalities in information theory, communications, and coding
M Raginsky, I Sason
Foundations and Trends« in Communications and Information Theory 10 (1-2), 1-246, 2013
Non-convex learning via stochastic gradient langevin dynamics: a nonasymptotic analysis
M Raginsky, A Rakhlin, M Telgarsky
arXiv preprint arXiv:1702.03849, 2017
Sequential anomaly detection in the presence of noise and limited feedback
M Raginsky, RM Willett, C Horn, J Silva, RF Marcia
IEEE Transactions on Information Theory 58 (8), 5544-5562, 2012
A fidelity measure for quantum channels
M Raginsky
Physics Letters A 290 (1-2), 11-18, 2001
Information-based complexity, feedback and dynamics in convex programming
M Raginsky, A Rakhlin
IEEE Transactions on Information Theory 57 (10), 7036-7056, 2011
Information-theoretic analysis of generalization capability of learning algorithms
A Xu, M Raginsky
Advances in Neural Information Processing Systems, 2524-2533, 2017
Estimation of intrinsic dimensionality using high-rate vector quantization
M Raginsky, S Lazebnik
Advances in neural information processing systems, 1105-1112, 2006
Performance bounds for expander-based compressed sensing in Poisson noise
M Raginsky, S Jafarpour, ZT Harmany, RF Marcia, RM Willett, ...
IEEE Transactions on Signal Processing 59 (9), 4139-4153, 2011
Operational distance and fidelity for quantum channels
VP Belavkin, GM D’ariano, M Raginsky
Journal of mathematical physics 46 (6), 062106, 2005
Strong Data Processing Inequalities and-Sobolev Inequalities for Discrete Channels
M Raginsky
IEEE Transactions on Information Theory 62 (6), 3355-3389, 2016
Lower bounds for passive and active learning
M Raginsky, A Rakhlin
Advances in Neural Information Processing Systems, 1026-1034, 2011
Radon–Nikodym derivatives of quantum operations
M Raginsky
Journal of Mathematical Physics 44 (11), 5003-5020, 2003
Strictly contractive quantum channels and physically realizable quantum computers
M Raginsky
Physical Review A 65 (3), 032306, 2002
An empirical bayes approach to contextual region classification
S Lazebnik, M Raginsky
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2380-2387, 2009
On the information capacity of Gaussian channels under small peak power constraints
M Raginsky
2008 46th Annual Allerton Conference on Communication, Control, andá…, 2008
Online Markov decision processes with Kullback–Leibler control cost
P Guan, M Raginsky, RM Willett
IEEE Transactions on Automatic Control 59 (6), 1423-1438, 2014
Multiscale photon-limited spectral image reconstruction
K Krishnamurthy, M Raginsky, R Willett
SIAM Journal on Imaging Sciences 3 (3), 619-645, 2010
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