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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)

Sequence-to-Lattice Models for Fast Translation EMNLP 2021 Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer Interspeech 2021 Sequential core-set Monte Carlo UAI 2021 Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy ICLR 2021 Sequential prediction under log-loss and misspecification COLT 2021 Sequential prediction under log-loss with side information ALT 2021 Set Generation Networks for End-to-End Knowledge Base Population EMNLP 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021 SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation AISTATS 2021 SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021 SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality COLT 2021 SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs NeurIPS 2021 SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021 SGLB: Stochastic Gradient Langevin Boosting ICML 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021 Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021 Shape-Aware Multi-Person Pose Estimation From Multi-View Images ICCV 2021 Shape-based Feature Engineering for Solar Flare Prediction AAAI 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 Shape From Semantic Segmentation via the Geometric Renyi Divergence WACV 2021 Shape From Sky: Polarimetric Normal Recovery Under the Sky CVPR 2021 Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021 Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders NeurIPS 2021 Shapley explainability on the data manifold ICLR 2021 Shapley Residuals: Quantifying the limits of the Shapley value for explanations NeurIPS 2021