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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Less is More: Nyström Computational Regularization NeurIPS 2015 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015 Lifted Inference Rules With Constraints NeurIPS 2015 Light Field From Micro-Baseline Image Pair CVPR 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework JMLR 2015 LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene CVPR 2015 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Local Smoothness in Variance Reduced Optimization NeurIPS 2015 Low Dimensional Explicit Feature Maps ICCV 2015 Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization COLT 2015 Low-Level Vision by Consensus in a Spatial Hierarchy of Regions CVPR 2015 Low-Rank Matrix Recovery from Row-and-Column Affine Measurements ICML 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015 MAP Disparity Estimation Using Hidden Markov Trees ICCV 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015 Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015 Markov Mixed Membership Models ICML 2015 Matching Bags of Regions in RGBD images CVPR 2015 Matrix Backpropagation for Deep Networks With Structured Layers ICCV 2015 Matrix Completion with Noisy Side Information NeurIPS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NeurIPS 2015