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)

Energetically Optimal Action Potentials NeurIPS 2011 Exploiting Variable Stiffness in Explosive Movement Tasks RSS 2011 Fast b-matching via Sufficient Selection Belief Propagation AISTATS 2011 Fast Trajectory Correction for Nonholonomic Mobile Robots using Affine Transformations RSS 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011 Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization AISTATS 2011 From Bandits to Experts: On the Value of Side-Observations NeurIPS 2011 Generalised Coupled Tensor Factorisation NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 Generative Modeling for Maximizing Precision and Recall in Information Visualization AISTATS 2011 Global Optimization of Robotic Grasps RSS 2011 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NeurIPS 2011 Higher-Order Correlation Clustering for Image Segmentation NeurIPS 2011 Improved Algorithms for Linear Stochastic Bandits NeurIPS 2011 Improved Moves for Truncated Convex Models JMLR 2011 Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback AISTATS 2011 Information Theoretical Clustering via Semidefinite Programming AISTATS 2011 Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms JMLR 2011 Learning Auto-regressive Models from Sequence and Non-sequence Data NeurIPS 2011 Learning Eigenvectors for Free NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011