Robust Optimality of Gaussian Noise Stability Elchanan Mossel∗and Joe Neeman† arXiv:1210.4126v3 [math.PR] 22 FebFebruary 25, 2013

Source URL: arxiv.org

Gaussian Noise Sensitivity and BosonSampling∗ Gil Kalai† Guy Kindler‡ August 13, 2014

Source URL: www.ma.huji.ac.il

1 Sparse Superposition Codes are Fast and Reliable at Rates Approaching Capacity with Gaussian Noise Andrew R. Barron, Senior Member, IEEE, and Antony Joseph, Student Member, IEEE For upcoming submission to IEEE Transac

Source URL: www.stat.yale.edu

ISIT 2010, Austin, Texas, U.S.A., June, 2010 Toward Fast Reliable Communication at Rates Near Capacity with Gaussian Noise Andrew R Barron, Antony Joseph Department of Statistics, Yale University and SumCodes, a

Source URL: www.stat.yale.edu

GAUSSIAN NOISE REMOVAL FOR WET CHEMISTRY DATA FROM THE PHOENIX MISSION Y. Mu1, W. Ding1, X. Ren1, E. Oberlin2, S. Kounaves2, 1 Department of Computer Science, University of Massachusetts Boston, 100 Morrissey Blvd., Bost

Source URL: www.cs.umb.edu

• Image denoising
• Spatial data analysis
• Wavelet
• Time series analysis
• Estimation theory
• Noise reduction
• White noise
• Statistics
• Image processing
• Signal processing

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 6, JUNECapacity Region of the Finite-State Multiple-Access Channel With and Without Feedback

Source URL: www.stanford.edu

• Statistics
• Channel
• Feedback
• Additive white Gaussian noise
• Intersymbol interference
• Markov chain
• Rate–distortion theory
• Forward error correction
• Noisy-channel coding theorem
• Information theory
• Information
• Telecommunications engineering

On Causal and Anticausal Learning Bernhard Sch¨olkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang FIRST. LAST @ TUE . MPG . DE Max Planck Institute for Intelligent Systems, Spemannstrasse, 72076 T¨ubing

Source URL: www.is.tuebingen.mpg.de

• Regression analysis
• Machine learning
• Causality
• Conditionals
• Linear regression
• Correlation and dependence
• Information theory
• Supervised learning
• Additive white Gaussian noise
• Statistics
• Econometrics
• Communication

On Causal and Anticausal Learning Bernhard Sch¨olkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang FIRST. LAST @ TUE . MPG . DE Max Planck Institute for Intelligent Systems, Spemannstrasse, 72076 T¨ubing

Source URL: icml.cc

• Regression analysis
• Machine learning
• Causality
• Conditionals
• Linear regression
• Correlation and dependence
• Information theory
• Supervised learning
• Additive white Gaussian noise
• Statistics
• Econometrics
• Communication

On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example Kun Zhang, Zhikun Wang,

Source URL: www.is.tuebingen.mpg.de

• Statistical theory
• M-estimators
• Information theory
• Additive white Gaussian noise
• Maximum likelihood
• Mutual information
• Expectation–maximization algorithm
• Regression analysis
• Log-normal distribution
• Statistics
• Estimation theory
• Econometrics

EFFICIENT ML DETECTION FOR MIMO CHANNELS: ORDERED SPHERE DECODING Karen Su and Ian J. Wassell, Cambridge University Engineering Department Key words to describe the work: Sphere decoding, Maximum Likelihood (ML) detectio

Source URL: www.cl.cam.ac.uk

• Information
• Data transmission
• Electronic engineering
• IEEE 802
• MIMO
• Software-defined radio
• Quadrature amplitude modulation
• Additive white Gaussian noise
• 4G
• Telecommunications engineering
• Radio resource management
• Information theory