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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)

Statistical Tomography of Microscopic Life CVPR 2018 Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018 Stein Points ICML 2018 Stein Variational Gradient Descent as Moment Matching NeurIPS 2018 Stein Variational Gradient Descent Without Gradient ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Step Size Matters in Deep Learning NeurIPS 2018 Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018 Stochastic Anytime Search for Bounding Marginal MAP IJCAI 2018 Stochastic Chebyshev Gradient Descent for Spectral Optimization NeurIPS 2018 Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NeurIPS 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Stochastic Expectation Maximization with Variance Reduction NeurIPS 2018 Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018 Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018 Stochastic Multi-armed Bandits in Constant Space AISTATS 2018 Stochastic Nested Variance Reduction for Nonconvex Optimization NeurIPS 2018 Stochastic PCA with ℓ_2 and ℓ_1 Regularization ICML 2018 Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NeurIPS 2018 Stochastic Proximal Algorithms for AUC Maximization ICML 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 Stochastic Shake-Shake Regularization for Affective Learning from Speech Interspeech 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Stochastic Three-Composite Convex Minimization with a Linear Operator AISTATS 2018 Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018