Information Bottleneck for Gaussian Variables
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Gal Chechik | Naftali Tishby | Amir Globerson | Yair Weiss | Naftali Tishby | Yair Weiss | A. Globerson | Gal Chechik
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] H. Hotelling. The most predictable criterion. , 1935 .
[3] A. Jennings,et al. Simultaneous Iteration for Partial Eigensolution of Real Matrices , 1975 .
[4] Aaron D. Wyner,et al. On source coding with side information at the decoder , 1975, IEEE Trans. Inf. Theory.
[5] Aaron D. Wyner,et al. The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.
[6] Gene H. Golub,et al. Matrix computations , 1983 .
[7] B. Thompson. Canonical Correlation Analysis: Uses and Interpretation , 1984 .
[8] Ralph Linsker,et al. Self-organization in a perceptual network , 1988, Computer.
[9] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition) , 1999 .
[10] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[11] Ralph Linsker,et al. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network , 1992, Neural Computation.
[12] Geoffrey E. Hinton,et al. Self-organizing neural network that discovers surfaces in random-dot stereograms , 1992, Nature.
[13] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[14] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[15] Suzanna Becker,et al. Mutual information maximization: models of cortical self-organization. , 1996, Network.
[16] James Demmel,et al. Applied Numerical Linear Algebra , 1997 .
[17] H. Knutsson,et al. Learning Canonical Correlations , 1997 .
[18] Gunnar Rätsch,et al. Invariant Feature Extraction and Classification in Kernel Spaces , 1999, NIPS.
[19] Toby Berger,et al. A semi-continuous version of the Berger-Yeung problem , 1999, IEEE Trans. Inf. Theory.
[20] Naftali Tishby,et al. Document clustering using word clusters via the information bottleneck method , 2000, SIGIR '00.
[21] H. Storch,et al. Statistical Analysis in Climate Research , 2000 .
[22] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[23] A. Dimitrov,et al. Neural coding and decoding: communication channels and quantization , 2001, Network.
[24] Vivek K. Goyal,et al. Theoretical foundations of transform coding , 2001, IEEE Signal Process. Mag..
[25] Steven Kay,et al. Fundamentals Of Statistical Signal Processing , 2001 .
[26] Samuel Kaski,et al. Clustering Based on Conditional Distributions in an Auxiliary Space , 2002, Neural Computation.
[27] Noam Slonim,et al. Maximum Likelihood and the Information Bottleneck , 2002, NIPS.
[28] Gal Chechik,et al. Extracting Relevant Structures with Side Information , 2002, NIPS.
[29] Kannan Ramchandran,et al. Duality between source coding and channel coding and its extension to the side information case , 2003, IEEE Trans. Inf. Theory.
[30] Michael Gastpar,et al. To code, or not to code: lossy source-channel communication revisited , 2003, IEEE Trans. Inf. Theory.
[31] Naftali Tishby,et al. An Information Theoretic Tradeoff between Complexity and Accuracy , 2003, COLT.
[32] Hans Knutsson,et al. Adaptive analysis of fMRI data , 2003, NeuroImage.
[33] Naftali Tishby,et al. Sufficient Dimensionality Reduction , 2003, J. Mach. Learn. Res..