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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
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Free energy score space NeurIPS 2009 From PAC-Bayes Bounds to KL Regularization NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Gaussian process regression with Student-t likelihood NeurIPS 2009 Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Group Sparse Coding NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Human Rademacher Complexity NeurIPS 2009 Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Lattice Regression NeurIPS 2009