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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)

Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NeurIPS 2007 Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Random Projections for Manifold Learning NeurIPS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Ranking the Best Instances JMLR 2007 Receptive Fields without Spike-Triggering NeurIPS 2007 Regret Minimization in Games with Incomplete Information NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007 Robust Regression with Twinned Gaussian Processes NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Selecting Observations against Adversarial Objectives NeurIPS 2007 Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007 Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa RSS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Spatially-Adaptive Learning Rates for Online Incremental SLAM RSS 2007 Stability Bounds for Non-i.i.d. Processes NeurIPS 2007