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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)

StopWasting My Gradients: Practical SVRG NeurIPS 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015 Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Strongly Adaptive Online Learning ICML 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 Structural Maxent Models ICML 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Subgraph Decomposition for Multi-Target Tracking CVPR 2015 Submodular Hamming Metrics NeurIPS 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Submodular Point Processes with Applications to Machine learning AISTATS 2015 Subsampling Methods for Persistent Homology ICML 2015 Subset Selection by Pareto Optimization NeurIPS 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NeurIPS 2015 Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities ACML 2015 Sum-of-Squares Lower Bounds for Sparse PCA NeurIPS 2015 Superdifferential Cuts for Binary Energies CVPR 2015 Supervised Discrete Hashing CVPR 2015 Supervised Learning via Euler's Elastica Models JMLR 2015 Surrogate Functions for Maximizing Precision at the Top ICML 2015 Surrogate regret bounds for generalized classification performance metrics ACML 2015 Swept Approximate Message Passing for Sparse Estimation ICML 2015 SWIFT: Sparse Withdrawal of Inliers in a First Trial CVPR 2015