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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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'25

Papers (including subtopics)

Mind the Duality Gap: Logarithmic regret algorithms for online optimization NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008 Mortal Multi-Armed Bandits NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 Nearly Uniform Validation Improves Compression-Based Error Bounds JMLR 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Online Models for Content Optimization NeurIPS 2008 Online Optimization in X-Armed Bandits NeurIPS 2008