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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
A Theory of Retinal Population Coding NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Sparse Representation for Signal Classification NIPS 2006
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Max-margin classification of incomplete data NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Conditional mean field NIPS 2006
No-regret Algorithms for Online Convex Programs NIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
TrueSkill™: A Bayesian Skill Rating System NIPS 2006