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

2

6

6

5

16

67

72

80

102

133

171

219

398

425

440

487

649

812

1,162

1,353

1,487

1,474

1,600

1,870

1,441

372

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Found Graph Data and Planted Vertex Covers NeurIPS 2018 Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Frustratingly Easy Model Ensemble for Abstractive Summarization EMNLP 2018 Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018 Generalized Binary Search For Split-Neighborly Problems AISTATS 2018 Generalized Inverse Optimization through Online Learning NeurIPS 2018 Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018 Generalizing Graph Matching beyond Quadratic Assignment Model NeurIPS 2018 Generating Plans for Cooperative Connected UAVs IJCAI 2018 Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018 Genetic-Gated Networks for Deep Reinforcement Learning NeurIPS 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 Geodesic Convolutional Shape Optimization ICML 2018 Geometric Multi-Model Fitting With a Convex Relaxation Algorithm CVPR 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NeurIPS 2018 Global Non-convex Optimization with Discretized Diffusions NeurIPS 2018 Global Optimality Conditions for Deep Neural Networks ICLR 2018 GPU-Based Max Flow Maps in the Plane RSS 2018 Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NeurIPS 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018