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)

SPMF: A Java Open-Source Pattern Mining Library JMLR 2014 Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014 Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares CVPR 2014 Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014 Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction CVPR 2014 Stiction Compensation in Agonist-Antagonist Variable Stiffness Actuators RSS 2014 Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NeurIPS 2014 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014 Stochastic Network Design in Bidirected Trees NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Submodularization for Binary Pairwise Energies CVPR 2014 Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014 Thompson Sampling for Complex Online Problems ICML 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014