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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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'10
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'25

Papers (including subtopics)

Exploiting Locality in SLAM by Nested Dissection RSS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 High-Dimensional Graphical Model Selection Using ℓ_1-Regularized Logistic Regression NeurIPS 2006 Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NeurIPS 2006 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006 implicit Online Learning with Kernels NeurIPS 2006 Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach JMLR 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Infinite-σ Limits For Tikhonov Regularization JMLR 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006 Integrated Planning and Control for Convex-bodied Nonholonomic systems using Local Feedback Control Policies RSS 2006 Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006 Kernels on Structured Objects Through Nested Histograms NeurIPS 2006 Large Margin Hidden Markov Models for Automatic Speech Recognition NeurIPS 2006