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)

Delay and Cooperation in Nonstochastic Linear Bandits NeurIPS 2020 Dependent randomized rounding for clustering and partition systems with knapsack constraints AISTATS 2020 Depth Completion via Deep Basis Fitting WACV 2020 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020 Derivative-Free & Order-Robust Optimisation AISTATS 2020 Designing Committees for Mitigating Biases AAAI 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NeurIPS 2020 Diameter-based Interactive Structure Discovery AISTATS 2020 Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections AAAI 2020 Diffeomorphic Learning JMLR 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020 Differentially Private Small Dataset Release Using Random Projections UAI 2020 Differential Privacy for Stackelberg Games IJCAI 2020 Dimension-Free Bounds for Chasing Convex Functions COLT 2020 Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium IJCAI 2020 DINO: Distributed Newton-Type Optimization Method ICML 2020 Direct Data-Driven Control with Embedded Anti-Windup Compensation L4DC 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020 Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020 Distance-Based Equilibria in Normal-Form Games AAAI 2020 Distributed Feature Screening via Componentwise Debiasing JMLR 2020 Distributed High-dimensional Regression Under a Quantile Loss Function JMLR 2020 Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020