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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Statistics
684 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 10
2008: 6
2009: 9
2010: 11
2011: 16
2012: 31
2013: 31
2014: 23
2015: 12
2016: 18
2017: 29
2018: 39
2019: 29
2020: 46
2021: 64
2022: 88
2023: 73
2024: 105
2025: 39
Papers
Combining PAC-Bayesian and Generic Chaining Bounds
JMLR 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections
NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NIPS 2007
A Kernel Method for the Two-Sample-Problem
NIPS 2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution
JMLR 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
NIPS 2006
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
JMLR 2005
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
JMLR 2004
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