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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)

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach CVPR 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity MLHC 2016 GMM-Free Flat Start Sequence-Discriminative DNN Training Interspeech 2016 GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016 Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016 Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NeurIPS 2016 Gradient Descent Only Converges to Minimizers COLT 2016 Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints CVPR 2016 Gradients Weights improve Regression and Classification JMLR 2016 Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016 Graph Connectivity in Noisy Sparse Subspace Clustering AISTATS 2016 Greedy Feature Construction NeurIPS 2016 Group Equivariant Convolutional Networks ICML 2016 Group MAD Competition - A New Methodology to Compare Objective Image Quality Models CVPR 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 Hardness of Online Sleeping Combinatorial Optimization Problems NeurIPS 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Herded Gibbs Sampling JMLR 2016 Heteroscedastic Sequences: Beyond Gaussianity ICML 2016 Hierarchical Decision Making In Electricity Grid Management ICML 2016 High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016 High Dimensional Structured Superposition Models NeurIPS 2016