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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)

Efficient Lifting of MAP LP Relaxations Using k-Locality AISTATS 2014
A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014
FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014
Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014
Connected Sub-graph Detection AISTATS 2014
Lifted MAP Inference for Markov Logic Networks AISTATS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014
An LP for Sequential Learning Under Budgets AISTATS 2014
Bayesian Multi-Scale Optimistic Optimization AISTATS 2014
Dynamic Resource Allocation for Optimizing Population Diffusion AISTATS 2014
Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014
Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014
Open Problem: Online Local Learning COLT 2014
Open Problem: Shifting Experts on Easy Data COLT 2014
Learning without concentration COLT 2014
Community Detection via Random and Adaptive Sampling COLT 2014
A second-order bound with excess losses COLT 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014
Higher-Order Regret Bounds with Switching Costs COLT 2014
Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014
Elicitation and Identification of Properties COLT 2014
Density-preserving quantization with application to graph downsampling COLT 2014