Skip to content
conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Data sparse nonparametric regression with $ε$-insensitive losses ACML 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Decomposable Submodular Function Minimization: Discrete and Continuous NeurIPS 2017 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Deep Learning at Alibaba IJCAI 2017 Defending Against Man-In-The-Middle Attack in Repeated Games IJCAI 2017 Deformable Rapidly-Exploring Random Trees RSS 2017 Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten” ICML 2017 Delta-net: Real-time Network Verification Using Atoms NSDI 2017 Designing Illuminant Spectral Power Distributions for Surface Classification CVPR 2017 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017 Deterministic, Strategyproof, and Fair Cake Cutting IJCAI 2017 Differentiable Learning of Submodular Models NeurIPS 2017 Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017 Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017 Discriminative State Space Models NeurIPS 2017 Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Distributed Mean Estimation with Limited Communication ICML 2017 Diving into the shallows: a computational perspective on large-scale shallow learning NeurIPS 2017 Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts IJCAI 2017 DOPE: Distributed Optimization for Pairwise Energies CVPR 2017 Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017