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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)

Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010
Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Incremental Sparsification for Real-time Online Model Learning AISTATS 2010
Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010
Learning Policy Improvements with Path Integrals AISTATS 2010
Learning Causal Structure from Overlapping Variable Sets AISTATS 2010
Guarantees for Approximate Incremental SVMs AISTATS 2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
Exclusive Lasso for Multi-task Feature Selection AISTATS 2010