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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)

Mining Topological Structure in Graphs through Forest Representations JMLR 2020
Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Spectral bandits JMLR 2020
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020
Diffeomorphic Learning JMLR 2020
Recovery of a Mixture of Gaussians by Sum-of-Norms Clustering JMLR 2020
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion JMLR 2020
Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020
High-dimensional quantile tensor regression JMLR 2020
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020
Virtual Reference Feedback Tuning with data-driven reference model selection L4DC 2020
Direct Data-Driven Control with Embedded Anti-Windup Compensation L4DC 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
Learning solutions to hybrid control problems using Benders cuts L4DC 2020
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020
Counterfactual Programming for Optimal Control L4DC 2020
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach L4DC 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020
Learning Convex Optimization Control Policies L4DC 2020
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020
On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020