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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)

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons IJCAI 2019 Fast and Accurate Least-Mean-Squares Solvers NeurIPS 2019 Fast and Accurate Stochastic Gradient Estimation NeurIPS 2019 Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019 Fast and Practical Neural Architecture Search ICCV 2019 Fast and Robust Multi-View Multi-Task Learning via Group Sparsity IJCAI 2019 Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019 Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019 Fast Automatic Smoothing for Generalized Additive Models JMLR 2019 Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances ICCV 2019 Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NeurIPS 2019 Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks NeurIPS 2019 Fast Decomposable Submodular Function Minimization using Constrained Total Variation NeurIPS 2019 Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ICML 2019 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019 Faster Boosting with Smaller Memory NeurIPS 2019 Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent IJCAI 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019 Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019 Fast Iterative Combinatorial Auctions via Bayesian Learning AAAI 2019 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR 2019 Fast Parallel Algorithms for Statistical Subset Selection Problems NeurIPS 2019