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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)

On the consistency of multi-robot cooperative localization RSS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 On The Power of Membership Queries in Agnostic Learning JMLR 2009 On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality JMLR 2009 Optimal context separation of spiking haptic signals by second-order somatosensory neurons NeurIPS 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Perceptual Multistability as Markov Chain Monte Carlo Inference NeurIPS 2009 Periodic Step Size Adaptation for Single Pass On-line Learning NeurIPS 2009 Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009 POMDPs for robotic tasks with mixed observability RSS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Prediction With Expert Advice For The Brier Game JMLR 2009 Probabilistic Relational PCA NeurIPS 2009 Provably Efficient Learning with Typed Parametric Models JMLR 2009 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009 Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NeurIPS 2009