conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1

14

29

44

31

52

189

195

212

235

352

382

457

787

816

828

1,066

1,391

1,913

3,012

3,646

4,303

4,450

5,357

6,155

5,854

1,521

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Large Scale Multiple Kernel Learning JMLR 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Learnability and the doubling dimension NeurIPS 2006 Learning a Hidden Hypergraph JMLR 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Coordinate Covariances via Gradients JMLR 2006 Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006 Learning from Multiple Sources NeurIPS 2006 Learning Minimum Volume Sets JMLR 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Learning the Structure of Linear Latent Variable Models JMLR 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 Linear State-Space Models for Blind Source Separation JMLR 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Lower Bounds and Aggregation in Density Estimation JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Maximum-Gain Working Set Selection for SVMs JMLR 2006 Max-margin classification of incomplete data NeurIPS 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006