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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
On the Representer Theorem and Equivalent Degrees of Freedom of SVR
JMLR 2007
What makes some POMDP problems easy to approximate?
NIPS 2007
Structured Learning with Approximate Inference
NIPS 2007
Convex Relaxations of Latent Variable Training
NIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
NIPS 2007
Efficient Inference for Distributions on Permutations
NIPS 2007
Combining PAC-Bayesian and Generic Chaining Bounds
JMLR 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
NIPS 2007
Progressive mixture rules are deviation suboptimal
NIPS 2007
A Kernel Statistical Test of Independence
NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
NIPS 2007
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
NIPS 2007
Truncating the Loop Series Expansion for Belief Propagation
JMLR 2007
Sequential Hypothesis Testing under Stochastic Deadlines
NIPS 2007
On the Consistency of Multiclass Classification Methods
JMLR 2007
Statistical Analysis of Semi-Supervised Regression
NIPS 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time
JMLR 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
NIPS 2007
VC Theory of Large Margin Multi-Category Classifiers
JMLR 2007
Stability Bounds for Non-i.i.d. Processes
NIPS 2007
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
JMLR 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
NIPS 2006
The Interplay of Optimization and Machine Learning Research
JMLR 2006
Infinite-Ï Limits For Tikhonov Regularization
JMLR 2006
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