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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)

A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 Agnostic Active Learning Without Constraints NeurIPS 2010 A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010 A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NeurIPS 2010 A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010 A Non-invasive Real-Time Method for Measuring Variable Stiffness RSS 2010 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010 Approximate Tree Kernels JMLR 2010 Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010