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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)

Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014 Image Reconstruction from Bag-of-Visual-Words CVPR 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Inferning with High Girth Graphical Models ICML 2014 Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 L0 Regularized Stationary Time Estimation for Crowd Group Analysis CVPR 2014 LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series AISTATS 2014 Large-Margin Convex Polytope Machine NeurIPS 2014