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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)

On Integrated Clustering and Outlier Detection NIPS 2014
Active Learning and Best-Response Dynamics NIPS 2014
Estimation with Norm Regularization NIPS 2014
Bounded Regret for Finite-Armed Structured Bandits NIPS 2014
Fast Kernel Learning for Multidimensional Pattern Extrapolation NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Best-Arm Identification in Linear Bandits NIPS 2014
Probabilistic ODE Solvers with Runge-Kutta Means NIPS 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014
Sparse binary zero-sum games ACML 2014
Distributed optimization of deeply nested systems AISTATS 2014
Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
Towards building a Crowd-Sourced Sky Map AISTATS 2014