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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)

Online Learning: Beyond Regret COLT 2011
Neyman-Pearson classification under a strict constraint COLT 2011
Optimal aggregation of affine estimators COLT 2011
Contextual Bandits with Similarity Information COLT 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
A simple multi-armed bandit algorithm with optimal variation-bounded regret COLT 2011
Monotone multi-armed bandit allocations COLT 2011
Improved Moves for Truncated Convex Models JMLR 2011
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm JMLR 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011
Models of Cooperative Teaching and Learning JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011
Better Algorithms for Benign Bandits JMLR 2011
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011
Double Updating Online Learning JMLR 2011
-Armed Bandits JMLR 2011
Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms JMLR 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011
Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011
Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011
A Simpler Approach to Matrix Completion JMLR 2011
Exploiting Variable Stiffness in Explosive Movement Tasks RSS 2011