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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Active learning for misspecified generalized linear models NIPS 2006
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NIPS 2006
Handling Advertisements of Unknown Quality in Search Advertising NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
A Small World Threshold for Economic Network Formation NIPS 2006
A recipe for optimizing a time-histogram NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NIPS 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
An Approach to Bounded Rationality NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Balanced Graph Matching NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Conditional mean field NIPS 2006