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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)

Sparse Learning with CART NeurIPS 2020 Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020 Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models EMNLP 2020 Sparse Shrunk Additive Models ICML 2020 Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning NeurIPS 2020 Sparse Symplectically Integrated Neural Networks NeurIPS 2020 Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020 Sparse Weight Activation Training NeurIPS 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation AAAI 2020 Spatio-temporal alignments: Optimal transport through space and time AISTATS 2020 Spatiotemporal Fusion in 3D CNNs: A Probabilistic View CVPR 2020 Speakers enhance contextually confusable words ACL 2020 Speakers Fill Lexical Semantic Gaps with Context EMNLP 2020 Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract) IJCAI 2020 Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020 Spectral bandits JMLR 2020 Spectral Deconfounding via Perturbed Sparse Linear Models JMLR 2020 Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory ICML 2020 Spectral Methods for Ranking with Scarce Data UAI 2020 Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020 Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks NeurIPS 2020 Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020 Speech Emotion Recognition with Discriminative Feature Learning Interspeech 2020 Speech Translation and the End-to-End Promise: Taking Stock of Where We Are ACL 2020