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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)

Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping AAAI 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019 Spatio-Temporal Prediction of Dialectal Variant Usage ACL 2019 Specializing Word Embeddings (for Parsing) by Information Bottleneck EMNLP 2019 Spectral Approximate Inference ICML 2019 Spectral Inference Networks: Unifying Deep and Spectral Learning ICLR 2019 Spectral Metric for Dataset Complexity Assessment CVPR 2019 Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager CVPR 2019 Spectral Regularization for Combating Mode Collapse in GANs ICCV 2019 Speculative Beam Search for Simultaneous Translation EMNLP 2019 Speech Denoising with Deep Feature Losses Interspeech 2019 Sphere Generative Adversarial Network Based on Geometric Moment Matching CVPR 2019 Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres CVPR 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks NeurIPS 2019 Splitting Steepest Descent for Growing Neural Architectures NeurIPS 2019 SPONGE: A generalized eigenproblem for clustering signed networks AISTATS 2019 Spreading vectors for similarity search ICLR 2019 Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes JMLR 2019 SSN: Learning Sparse Switchable Normalization via SparsestMax CVPR 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019 Stable Recurrent Models ICLR 2019 Stagewise Training Accelerates Convergence of Testing Error Over SGD NeurIPS 2019