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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Information Theory
313 directly classified papers
Papers per year
2004: 1
2006: 4
2007: 3
2008: 4
2009: 6
2010: 7
2011: 6
2012: 10
2013: 8
2014: 13
2015: 1
2016: 6
2017: 9
2018: 11
2019: 21
2020: 27
2021: 36
2022: 39
2023: 36
2024: 37
2025: 28
Papers
Neurometric function analysis of population codes
NIPS 2009
A general framework for investigating how far the decoding process in the brain can be simplified
NIPS 2008
ICA based on a Smooth Estimation of the Differential Entropy
NIPS 2008
Estimation of Information Theoretic Measures for Continuous Random Variables
NIPS 2008
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
NIPS 2008
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
NIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models
NIPS 2007
A Theory of Retinal Population Coding
NIPS 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments
NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
NIPS 2006
Geometric entropy minimization (GEM) for anomaly detection and localization
NIPS 2006
A Compression Approach to Support Vector Model Selection
JMLR 2004
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