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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)

Geometrically Enriched Latent Spaces AISTATS 2021 Geometric convergence of elliptical slice sampling ICML 2021 Geometric rates of convergence for kernel-based sampling algorithms UAI 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CoRL 2021 Geometry-Aware Gradient Algorithms for Neural Architecture Search ICLR 2021 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances ICML 2021 GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021 giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration JMLR 2021 GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling ACL 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 Global2Local: Efficient Structure Search for Video Action Segmentation CVPR 2021 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Global-aware Beam Search for Neural Abstractive Summarization NeurIPS 2021 Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization NeurIPS 2021 Global Convergence of Three-layer Neural Networks in the Mean Field Regime ICLR 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021 Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space ICCV 2021 Globally-Robust Neural Networks ICML 2021 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021 Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime ICLR 2021 Glottal Stops in Upper Sorbian: A Data-Driven Approach Interspeech 2021 GO Hessian for Expectation-Based Objectives AAAI 2021