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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)

Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Analysis of Contour Motions NIPS 2006
Causal inference in sensorimotor integration NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
implicit Online Learning with Kernels NIPS 2006
PG-means: learning the number of clusters in data NIPS 2006
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
Optimal Single-Class Classification Strategies NIPS 2006
Learning to Rank with Nonsmooth Cost Functions NIPS 2006
Analysis of Representations for Domain Adaptation NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
AdaBoost is Consistent NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006